Triple
T9774854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeston, New Zealand |
E237220
|
entity |
| Predicate | distanceFromChristchurch |
P70323
|
FINISHED |
| Object | approximately 30 km southwest |
—
|
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 30 km southwest | Statement: [Leeston, New Zealand, distanceFromChristchurch, approximately 30 km southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromChristchurch Context triple: [Leeston, New Zealand, distanceFromChristchurch, approximately 30 km southwest]
-
A.
distanceToChristchurch
chosen
Indicates the spatial distance between a given entity’s location and the location of Christchurch.
-
B.
distanceToWellington
Indicates the measured distance between a given entity’s location and the location of Wellington.
-
C.
distanceToPalmerstonNorth
Indicates the spatial distance between a given location and Palmerston North.
-
D.
distanceFromNewZealandMainland_km
Indicates the distance, measured in kilometers, between an entity’s location and the mainland of New Zealand.
-
E.
distanceToBlenheim
Indicates the measured distance between a given entity and the location named Blenheim.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13148288190bcbb3b4a066d9fc1 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.