Triple
T100772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easter Island |
E2034
|
entity |
| Predicate | distanceToContinentApproximate |
P6357
|
FINISHED |
| Object | over 3500 km west of continental Chile |
—
|
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: over 3500 km west of continental Chile | Statement: [Easter Island, distanceToContinentApproximate, over 3500 km west of continental Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToContinentApproximate Context triple: [Easter Island, distanceToContinentApproximate, over 3500 km west of continental Chile]
-
A.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
B.
distanceFromNorthPole
Indicates the measured spatial distance between a given entity’s location and the geographic North Pole.
-
C.
borderedByContinent
Indicates that one entity has a land or maritime boundary directly adjacent to the specified continent.
-
D.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
E.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25760af348190bf402089c240887d |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2563921f8819087f720b1c803579f |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2575d8a648190ad8e10d4b04e5e07 |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.