Triple
T4719975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negros Island |
E104739
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Guihulngan |
E335670
|
NE FINISHED |
How this triple was built (2 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: Guihulngan | Statement: [Negros Island, hasCity, Guihulngan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guihulngan Context triple: [Negros Island, hasCity, Guihulngan]
-
A.
Guihulngan
chosen
Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
-
B.
Moalboal
Moalboal is a coastal town in the Philippines renowned for its vibrant coral reefs, sardine runs, and popular diving and snorkeling spots.
-
C.
Sagay
Sagay is a coastal city in the province of Negros Occidental in the Philippines, known for its rich marine resources and protected seascape.
-
D.
Calbayog
Calbayog is a coastal city in the province of Samar in the Philippines, known as a regional hub for trade, culture, and transportation in Eastern Visayas.
-
E.
Calapan
Calapan is the capital city of Oriental Mindoro in the Philippines, serving as a key commercial and transportation hub in the Mimaropa region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6428e9e081908ce4041183cad13b |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d33a65481908c7ab4473bed1320 |
completed | March 22, 2026, 11:37 p.m. |
Created at: March 20, 2026, 1:18 p.m.