Triple
T18402278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawene |
E450024
|
entity |
| Predicate | distanceToKaikohe |
P130991
|
FINISHED |
| Object | approximately 35 kilometres west |
—
|
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 35 kilometres west | Statement: [Rawene, distanceToKaikohe, approximately 35 kilometres west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKaikohe Context triple: [Rawene, distanceToKaikohe, approximately 35 kilometres west]
-
A.
distanceFromKaunakakaiMiles
Indicates the physical distance, measured in miles, between an entity and the location of Kaunakakai.
-
B.
distanceFromNaha
Indicates the spatial distance between a given location and Naha.
-
C.
distanceFromKailuaKonaMiles
Indicates the physical distance, measured in miles, between an entity and Kailua-Kona.
-
D.
distanceFromMaui
Indicates the measured or specified distance between an entity and the location of Maui.
-
E.
distanceFromKochi_km
Indicates the physical distance, measured in kilometers, between a given location and Kochi.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e519537eb88190bc85d21471e27c26 |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:46 a.m.