Triple
T26180074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niihau |
E654649
|
entity |
| Predicate | distanceToKauaiKilometers |
P195071
|
FINISHED |
| Object | approximately 27 |
—
|
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 27 | Statement: [Niihau, distanceToKauaiKilometers, approximately 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKauaiKilometers Context triple: [Niihau, distanceToKauaiKilometers, approximately 27]
-
A.
distanceFromKailuaKonaMiles
Indicates the physical distance, measured in miles, between an entity and Kailua-Kona.
-
B.
distanceFromKaunakakaiMiles
Indicates the physical distance, measured in miles, between an entity and the location of Kaunakakai.
-
C.
distanceFromHawaii
Indicates the measured spatial distance between a given entity and the location of Hawaii.
-
D.
distanceFromMaui
Indicates the measured or specified distance between an entity and the location of Maui.
-
E.
distanceFromHonolulu
Indicates the spatial distance between a given location and Honolulu.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
| PDg | Predicate description generation | batch_69fda4fe67a08190bdaa84ceabd6de6c |
completed | May 8, 2026, 8:55 a.m. |
Created at: April 26, 2026, 8:39 p.m.