Triple
T37045834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motu Motiro Hiva |
E916905
|
entity |
| Predicate | distanceFromEasterIsland_km |
P98306
|
FINISHED |
| Object | about 390 |
—
|
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 390 | Statement: [Motu Motiro Hiva, distanceFromEasterIsland_km, about 390]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromEasterIsland_km Context triple: [Motu Motiro Hiva, distanceFromEasterIsland_km, about 390]
-
A.
distanceToEasterIsland
chosen
Indicates the measured spatial distance between a given entity and Easter Island.
-
B.
distanceToPitcairnIsland_km
Indicates the distance, measured in kilometers, between a given location and Pitcairn Island.
-
C.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
D.
distanceFromJuanFernandezIslands_km
Indicates the distance, measured in kilometers, between an entity and the Juan Fernández Islands.
-
E.
distanceToRebunIsland_km
Indicates the distance, measured in kilometers, from a given location to Rebun Island.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.