Triple
T36941417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Kings Islands |
E913777
|
entity |
| Predicate | distanceFromNorthIsland_km |
P205654
|
FINISHED |
| Object | about 55 |
—
|
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 55 | Statement: [Three Kings Islands, distanceFromNorthIsland_km, about 55]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNorthIsland_km Context triple: [Three Kings Islands, distanceFromNorthIsland_km, about 55]
-
A.
distanceFromNewZealandMainland_km
Indicates the distance, measured in kilometers, between an entity’s location and the mainland of New Zealand.
-
B.
distanceFromKaitaia
Indicates the measured distance between a given location or entity and Kaitaia.
-
C.
distanceToGisborne_km
Indicates the distance, measured in kilometers, from a given place or entity to Gisborne.
-
D.
relativeSizeComparedToNorthIsland
Indicates how the size of something compares to that of the North Island.
-
E.
distanceFromAuckland_km
Indicates the physical distance, measured in kilometers, between an entity’s location and Auckland.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:13 p.m.