Triple
T2523990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negros Occidental |
E55991
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Sagay
Sagay is a coastal city in the province of Negros Occidental in the Philippines, known for its rich marine resources and protected seascape.
|
E381139
|
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: Sagay | Statement: [Negros Occidental, hasCity, Sagay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagay Context triple: [Negros Occidental, hasCity, Sagay]
-
A.
Guihulngan
Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
-
B.
Bayugan
Bayugan is a component city in the Caraga region of Mindanao in the Philippines, known as an agricultural and commercial hub in its area.
-
C.
Koronadal
Koronadal is a city in the Philippines that serves as the capital of South Cotabato and the regional administrative center of Soccsksargen.
-
D.
Surigao del Sur
Surigao del Sur is a coastal province in the southeastern part of Mindanao in the Philippines, known for its rugged Pacific shoreline, waterfalls, and emerging ecotourism sites.
-
E.
Argao
Argao is a coastal municipality in the southeastern part of Cebu, Philippines, known for its Spanish-era heritage structures and traditional delicacies.
- 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: Sagay Triple: [Negros Occidental, hasCity, Sagay]
Generated description
Sagay is a coastal city in the province of Negros Occidental in the Philippines, known for its rich marine resources and protected seascape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sagay Target entity description: Sagay is a coastal city in the province of Negros Occidental in the Philippines, known for its rich marine resources and protected seascape.
-
A.
Guihulngan
Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
-
B.
Bayugan
Bayugan is a component city in the Caraga region of Mindanao in the Philippines, known as an agricultural and commercial hub in its area.
-
C.
Koronadal
Koronadal is a city in the Philippines that serves as the capital of South Cotabato and the regional administrative center of Soccsksargen.
-
D.
Surigao del Sur
Surigao del Sur is a coastal province in the southeastern part of Mindanao in the Philippines, known for its rugged Pacific shoreline, waterfalls, and emerging ecotourism sites.
-
E.
Argao
Argao is a coastal municipality in the southeastern part of Cebu, Philippines, known for its Spanish-era heritage structures and traditional delicacies.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd252f1c88190ac93604542f80f49 |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdb622788190bf419db993c2dd1f |
completed | March 14, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69b4ce83e0888190a55ea4ded410874d |
completed | March 14, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4cf1a1a108190966323c60c611395 |
completed | March 14, 2026, 2:59 a.m. |
Created at: March 6, 2026, 9:46 p.m.