Triple
T36721172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carteret Islands |
E907063
|
entity |
| Predicate | distanceFromBougainvilleIsland |
P205022
|
FINISHED |
| Object | approximately 80–90 kilometers northeast |
—
|
LITERAL 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: approximately 80–90 kilometers northeast | Statement: [Carteret Islands, distanceFromBougainvilleIsland, approximately 80–90 kilometers northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBougainvilleIsland Context triple: [Carteret Islands, distanceFromBougainvilleIsland, approximately 80–90 kilometers northeast]
-
A.
distanceFromFunafuti
Indicates the measured distance between a given entity or location and Funafuti.
-
B.
distanceFromBikiniAtoll
Indicates the spatial distance between an entity and Bikini Atoll.
-
C.
distanceToPitcairnIsland_km
Indicates the distance, measured in kilometers, between a given location and Pitcairn Island.
-
D.
distanceToPalikir
Indicates the spatial distance between a given location and Palikir.
-
E.
distanceToNewCaledonia
Indicates the measured or calculated distance between a given entity’s location and the location of New Caledonia.
- F. None of above. chosen
Provenance (4 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:12 p.m.