Triple
T20221944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bisbee, Arizona |
E495276
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
San Jose
San Jose is a residential neighborhood within the city of Bisbee in Cochise County, southeastern Arizona.
|
E1422180
|
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 Jose | Statement: [Bisbee, Arizona, hasNeighborhood, San Jose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Jose Context triple: [Bisbee, Arizona, hasNeighborhood, San Jose]
-
A.
San Jose
San Jose is a municipality in the province of Tarlac in the Central Luzon region of the Philippines, known for its predominantly agricultural economy.
-
B.
San Jose
San Jose is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural communities.
-
C.
San Jose
San Jose is a coastal municipality in the Philippine province of Romblon known for its island landscapes and fishing communities.
-
D.
San Jose
San Jose is a city in Bulacan, Philippines, officially known as San Jose del Monte and commonly referred to by its shortened nickname.
-
E.
San Jose
San Jose is a coastal municipality in the province of Occidental Mindoro in the Philippines, known as a commercial and transportation hub for the region.
- 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 Jose Triple: [Bisbee, Arizona, hasNeighborhood, San Jose]
Generated description
San Jose is a residential neighborhood within the city of Bisbee in Cochise County, southeastern Arizona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Jose Target entity description: San Jose is a residential neighborhood within the city of Bisbee in Cochise County, southeastern Arizona.
-
A.
San Jose
San Jose is a barangay (village-level administrative division) within the municipality of San Narciso in the province of Zambales, Philippines.
-
B.
San Jose
San Jose is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural communities.
-
C.
San Jose
San Jose is a coastal municipality in the province of Northern Samar in the Eastern Visayas region of the Philippines.
-
D.
San Jose
San Jose is a barangay (village-level administrative division) within the municipality of Paombong in the province of Bulacan, Philippines.
-
E.
San Jose
San Jose is a barangay (village-level administrative division) of the municipality of Ternate in the province of Cavite, Philippines.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd610f881908fdd22b1f8bd2efc |
completed | April 20, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a0cc52c8190ac27180a9d86bba7 |
completed | May 16, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a085ac5b5f4819083c4d12e9cabc758 |
completed | May 16, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085bc0781c81909fc53a83291badc0 |
completed | May 16, 2026, 11:57 a.m. |
Created at: April 11, 2026, 11:39 p.m.