Triple
T4042873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diomede Islands |
E83993
|
entity |
| Predicate | distanceBetweenIslands |
P53766
|
FINISHED |
| Object | about 3.8 kilometers |
—
|
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 3.8 kilometers | Statement: [Diomede Islands, distanceBetweenIslands, about 3.8 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceBetweenIslands Context triple: [Diomede Islands, distanceBetweenIslands, about 3.8 kilometers]
-
A.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
B.
numberOfIslandsAndReefs
Indicates the count of islands and reefs associated with or contained within a given geographic or administrative entity.
-
C.
distanceFromJuanFernandezIslands_km
Indicates the distance, measured in kilometers, between an entity and the Juan Fernández Islands.
-
D.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
E.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5b65c08190ba3f340ed18737f8 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef98ed84c81909dc86097df4afd4f |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:37 p.m.