Triple
T2655131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kermadec Islands |
E53989
|
entity |
| Predicate | distanceFromNewZealandMainlandKilometres |
P28810
|
FINISHED |
| Object | about 1000 |
—
|
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 1000 | Statement: [Kermadec Islands, distanceFromNewZealandMainlandKilometres, about 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNewZealandMainlandKilometres Context triple: [Kermadec Islands, distanceFromNewZealandMainlandKilometres, about 1000]
-
A.
distanceFromNewZealandMainland_km
chosen
Indicates the distance, measured in kilometers, between an entity’s location and the mainland of New Zealand.
-
B.
distanceFromJuanFernandezIslands_km
Indicates the distance, measured in kilometers, between an entity and the Juan Fernández Islands.
-
C.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
D.
relativeSizeComparedToNorthIsland
Indicates how the size of something compares to that of the North Island.
-
E.
distanceFromFalklands
Indicates the measured spatial distance between a given entity or location and the Falkland Islands.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.