Triple
T6256854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camotes Sea |
E140187
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Ormoc |
E233370
|
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: Ormoc | Statement: [Camotes Sea, locatedNear, Ormoc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ormoc Context triple: [Camotes Sea, locatedNear, Ormoc]
-
A.
Ormoc
chosen
Ormoc is a coastal city in the western part of Leyte in the Philippines, known as a commercial and transportation hub with significant agricultural and geothermal resources.
-
B.
Oribos
Oribos is the central hub city and afterlife crossroads in World of Warcraft: Shadowlands, where players gather, trade, and access the expansion’s various realms.
-
C.
Ochtum
The Ochtum is a river in northwestern Germany that flows through Lower Saxony and Bremen before joining the Weser.
-
D.
Orsa
Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
-
E.
Orbiel
The Orbiel is a river in southern France that flows through the Aude department before joining the Aude River.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063653910819095f1dc3b90ce77db |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c244379f308190b73fe7ed4ed678e9 |
completed | March 24, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:24 p.m.