Triple
T15320747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiva Oa |
E366282
|
entity |
| Predicate | distanceToTahiti |
P61586
|
FINISHED |
| Object | approximately 1,400 kilometres northeast of Tahiti |
—
|
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 1,400 kilometres northeast of Tahiti | Statement: [Hiva Oa, distanceToTahiti, approximately 1,400 kilometres northeast of Tahiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTahiti Context triple: [Hiva Oa, distanceToTahiti, approximately 1,400 kilometres northeast of Tahiti]
-
A.
distanceFromTahiti
chosen
Indicates the measured spatial distance between a given location or object and Tahiti.
-
B.
distanceFromHawaii
Indicates the measured spatial distance between a given entity and the location of Hawaii.
-
C.
distanceToPalikir
Indicates the spatial distance between a given location and Palikir.
-
D.
distanceFromHonolulu
Indicates the spatial distance between a given location and Honolulu.
-
E.
distanceToEasterIsland
Indicates the measured spatial distance between a given entity and Easter Island.
- F. None of above.
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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd460288190b5c41f0a0aeee949 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.