Triple
T28370100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Cape of New Zealand |
E718601
|
entity |
| Predicate | distanceToGisborne_km |
P201436
|
FINISHED |
| Object | about 200 |
—
|
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: about 200 | Statement: [East Cape of New Zealand, distanceToGisborne_km, about 200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGisborne_km Context triple: [East Cape of New Zealand, distanceToGisborne_km, about 200]
-
A.
distanceFromKaitaia
Indicates the measured distance between a given location or entity and Kaitaia.
-
B.
distanceFromWhangarei
Indicates the spatial distance between a given location and Whangarei.
-
C.
distanceFromWhangārei
Indicates the measured distance between a given place or object and the location of Whangārei.
-
D.
distanceFromAuckland_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Auckland.
-
E.
distanceToTimaru_km
Indicates the physical distance, measured in kilometers, between a given location and Timaru.
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fff59a00a881909b35b799654b3c45 |
completed | May 10, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69fff4d0a2e081909c972189b33d0128 |
completed | May 10, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69fff59875cc8190864864e951951679 |
completed | May 10, 2026, 3:03 a.m. |
Created at: April 28, 2026, 12:59 a.m.