Triple
T2531649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ngerchelchuus |
E56171
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Babeldaob |
E56171
|
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: Babeldaob | Statement: [Mount Ngerchelchuus, locatedOn, Babeldaob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babeldaob Context triple: [Mount Ngerchelchuus, locatedOn, Babeldaob]
-
A.
Babeldaob
chosen
Babeldaob is the largest island in Palau, known for its rugged terrain, traditional villages, and role as the site of the nation’s capital, Ngerulmud.
-
B.
Vabis
Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
-
C.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
D.
Aobadai
Aobadai is a residential and commercial neighborhood in Meguro, Tokyo, known for its upscale apartments, cafes, and convenient access to central Tokyo.
-
E.
Bacavi
Bacavi is a traditional Hopi village located on the Hopi Reservation in northeastern Arizona.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2781700819091ffc32244d9efe2 |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bb9c37081909128d7a227651c8b |
completed | March 9, 2026, 8:21 p.m. |
Created at: March 6, 2026, 9:47 p.m.