Triple
T20222372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiteriteri |
E495287
|
entity |
| Predicate | distanceToMotueka |
P139279
|
FINISHED |
| Object | approximately 13 kilometres north |
—
|
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 13 kilometres north | Statement: [Kaiteriteri, distanceToMotueka, approximately 13 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMotueka Context triple: [Kaiteriteri, distanceToMotueka, approximately 13 kilometres north]
-
A.
distanceToKaikohe
Indicates the spatial distance between a given location or entity and the town of Kaikohe.
-
B.
distanceToMoshi
Indicates the spatial distance between a given entity and the location Moshi.
-
C.
distanceFromKaunakakaiMiles
Indicates the physical distance, measured in miles, between an entity and the location of Kaunakakai.
-
D.
distanceToTaihape
Indicates the physical distance between an entity’s location and the town of Taihape.
-
E.
distanceToWaipukurau
Indicates the spatial distance between a given location or entity and Waipukurau.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd729548190942bcf842f03c4cd |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:39 p.m.