Triple
T31680037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Albans, Christchurch, New Zealand |
E808511
|
entity |
| Predicate | distanceToChristchurchCBD_km |
P70323
|
FINISHED |
| Object | approximately 2–3 kilometres |
—
|
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 2–3 kilometres | Statement: [St. Albans, Christchurch, New Zealand, distanceToChristchurchCBD_km, approximately 2–3 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToChristchurchCBD_km Context triple: [St. Albans, Christchurch, New Zealand, distanceToChristchurchCBD_km, approximately 2–3 kilometres]
-
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.
distanceToGisborne_km
Indicates the distance, measured in kilometers, from a given place or entity to Gisborne.
-
D.
distanceToInvercargill
Indicates the measured or calculated distance between a given entity’s location and the city of Invercargill.
-
E.
distanceToTimaru_km
Indicates the physical distance, measured in kilometers, between a given location and Timaru.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0207a1272c81909dcdb6e3307702f5 |
completed | May 11, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_6a0205fa1e608190829fd2baa0434fff |
completed | May 11, 2026, 4:38 p.m. |
Created at: April 30, 2026, 11:04 p.m.