Triple
T11062166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badian |
E261532
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Moalboal |
E235324
|
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: Moalboal | Statement: [Badian, hasNearbyCity, Moalboal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moalboal Context triple: [Badian, hasNearbyCity, Moalboal]
-
A.
Moalboal
chosen
Moalboal is a coastal town in the Philippines renowned for its vibrant coral reefs, sardine runs, and popular diving and snorkeling spots.
-
B.
Guihulngan
Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
-
C.
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.
-
D.
Malalag
Malalag is a coastal municipality in the province of Davao del Sur in the Philippines, known for its fishing communities and access to Davao Gulf.
-
E.
Pagbilao
Pagbilao is a coastal municipality in the province of Quezon, Philippines, known for its power plant, beaches, and mangrove forests.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798eb838c819089a89c55209c0295 |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6037fdf80819091fb2c8bf128582d |
completed | April 20, 2026, 10:44 a.m. |
Created at: April 8, 2026, 9:26 p.m.