Triple
T20069557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Quezon |
E499696
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
San Francisco
San Francisco is a municipality in the Philippine province of Quezon known for its rural communities and agricultural economy.
|
E1412677
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: San Francisco | Statement: [Province of Quezon, hasMunicipality, San Francisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Francisco Context triple: [Province of Quezon, hasMunicipality, San Francisco]
-
A.
San Francisco
San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
-
B.
San Francisco
San Francisco is a coastal neighborhood of the city of Telde in Gran Canaria, Spain, known for its traditional Canarian architecture and historic character.
-
C.
San Francisco
San Francisco is a coastal municipality in the province of Southern Leyte in the Philippines, known for its rural communities and proximity to the Bohol Sea.
-
D.
San Francisco
San Francisco is a coastal municipality in the Philippine province of Surigao del Norte, known for its island landscapes and fishing communities.
-
E.
San Francisco
San Francisco is a town located in the Atlántida Department on the northern Caribbean coast of Honduras.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: San Francisco Triple: [Province of Quezon, hasMunicipality, San Francisco]
Generated description
San Francisco is a municipality in the Philippine province of Quezon known for its rural communities and agricultural economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Francisco Target entity description: San Francisco is a municipality in the Philippine province of Quezon known for its rural communities and agricultural economy.
-
A.
San Francisco
San Francisco is a coastal municipality in the Philippine province of Surigao del Norte, known for its island landscapes and fishing communities.
-
B.
San Francisco
San Francisco is a coastal municipality in the province of Southern Leyte in the Philippines, known for its rural communities and proximity to the Bohol Sea.
-
C.
San Francisco
San Francisco is a municipality in Colombia’s Putumayo Department, located in the southwestern part of the country near the Andean and Amazonian regions.
-
D.
San Francisco
San Francisco is a town located in the Atlántida Department on the northern Caribbean coast of Honduras.
-
E.
San Francisco
San Francisco is a coastal neighborhood of the city of Telde in Gran Canaria, Spain, known for its traditional Canarian architecture and historic character.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dc8db54819092ced7c6a506afaa |
completed | May 16, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_6a082e93a1e88190bac5daae12ece9f2 |
completed | May 16, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082f334dd481908edb6ea3ae07e0a7 |
completed | May 16, 2026, 8:47 a.m. |
Created at: April 11, 2026, 3:39 p.m.