Triple
T23162741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twizel |
E578629
|
entity |
| Predicate | distanceToChristchurch_km |
P70323
|
FINISHED |
| Object | approximately 285 |
—
|
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 285 | Statement: [Twizel, distanceToChristchurch_km, approximately 285]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToChristchurch_km Context triple: [Twizel, distanceToChristchurch_km, approximately 285]
-
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.
distanceToInvercargill
Indicates the measured or calculated distance between a given entity’s location and the city of Invercargill.
-
D.
distanceFromAuckland_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Auckland.
-
E.
distanceFromKaitaia
Indicates the measured distance between a given location or entity and Kaitaia.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f29be30819091e18551044a98f3 |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:02 p.m.