Triple
T16563956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorsogon |
E402408
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Casiguran
Casiguran is a coastal municipality in the province of Sorsogon in the Bicol Region of the Philippines, known for its fishing communities and rural landscapes.
|
E1220580
|
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: Casiguran | Statement: [Sorsogon, hasCity, Casiguran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casiguran Context triple: [Sorsogon, hasCity, Casiguran]
-
A.
Casiguran
Casiguran is a coastal municipality in the province of Aurora, Philippines, known for its fishing communities, agricultural lands, and proximity to the Pacific Ocean.
-
B.
Caja
Caja is the file manager used in the MATE desktop environment, providing users with tools to browse, organize, and manage their files and folders.
-
C.
Lucala
Lucala is a town and municipality located in Angola’s Cuanza Norte Province.
-
D.
Capriasca
Capriasca is a Swiss municipality in the canton of Ticino, situated in the hilly region north of the city of Lugano.
-
E.
Saca
Saca is a Spanish-language surname most notably associated with former Salvadoran president Antonio Saca.
- 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: Casiguran Triple: [Sorsogon, hasCity, Casiguran]
Generated description
Casiguran is a coastal municipality in the province of Sorsogon in the Bicol Region of the Philippines, known for its fishing communities and rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casiguran Target entity description: Casiguran is a coastal municipality in the province of Sorsogon in the Bicol Region of the Philippines, known for its fishing communities and rural landscapes.
-
A.
Casiguran
Casiguran is a coastal municipality in the province of Aurora, Philippines, known for its fishing communities, agricultural lands, and proximity to the Pacific Ocean.
-
B.
Caja
Caja is the file manager used in the MATE desktop environment, providing users with tools to browse, organize, and manage their files and folders.
-
C.
Lucala
Lucala is a town and municipality located in Angola’s Cuanza Norte Province.
-
D.
Capriasca
Capriasca is a Swiss municipality in the canton of Ticino, situated in the hilly region north of the city of Lugano.
-
E.
Saca
Saca is a Spanish-language surname most notably associated with former Salvadoran president Antonio Saca.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3577043048190bc9bcf55069b769f |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006edfe7f08190857fc6f66f3be9a0 |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006f5fdea0819093ee1b522438cdc1 |
completed | May 10, 2026, 11:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a006fd9da688190abde982bbee5ba73 |
completed | May 10, 2026, 11:45 a.m. |
Created at: April 10, 2026, 5:15 a.m.