Triple
T12644157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ujelang Atoll |
E301975
|
entity |
| Predicate | distanceFromMajuro |
P106157
|
FINISHED |
| Object | over 1000 kilometers west-northwest (approximate) |
—
|
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 1000 kilometers west-northwest (approximate) | Statement: [Ujelang Atoll, distanceFromMajuro, over 1000 kilometers west-northwest (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMajuro Context triple: [Ujelang Atoll, distanceFromMajuro, over 1000 kilometers west-northwest (approximate)]
-
A.
distanceToPalikir
Indicates the spatial distance between a given location and Palikir.
-
B.
distanceFromMaui
Indicates the measured or specified distance between an entity and the location of Maui.
-
C.
distanceFromMidwayAtoll
Indicates the measured or specified distance between a given entity and Midway Atoll.
-
D.
distanceFromPagoPago
Indicates the spatial distance between a given entity and the location of Pago Pago.
-
E.
distanceFromBikiniAtoll
Indicates the spatial distance between an entity and Bikini Atoll.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:17 p.m.