Triple
T3030831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagasa |
E82889
|
entity |
| Predicate | distanceFromPagoPago |
P45092
|
FINISHED |
| Object | approximately 3 miles northwest (by air) |
—
|
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: approximately 3 miles northwest (by air) | Statement: [Fagasa, distanceFromPagoPago, approximately 3 miles northwest (by air)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPagoPago Context triple: [Fagasa, distanceFromPagoPago, approximately 3 miles northwest (by air)]
-
A.
distanceFromBikiniAtoll
Indicates the spatial distance between an entity and Bikini Atoll.
-
B.
distanceFromCharlotteAmalie
Indicates the measured distance between a given location and Charlotte Amalie.
-
C.
distanceFromKailuaKonaMiles
Indicates the physical distance, measured in miles, between an entity and Kailua-Kona.
-
D.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
E.
distanceToPacificOcean
Indicates the physical distance between a given location or entity and the Pacific Ocean.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aee2fec81908116939a8d773fc4 |
completed | March 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 3:01 p.m.