Triple
T9076930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asuncion Island |
E217507
|
entity |
| Predicate | distanceToSaipan |
P87076
|
FINISHED |
| Object | approximately 300 km north |
—
|
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 300 km north | Statement: [Asuncion Island, distanceToSaipan, approximately 300 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSaipan Context triple: [Asuncion Island, distanceToSaipan, approximately 300 km north]
-
A.
distanceFromTahiti
Indicates the measured spatial distance between a given location or object and Tahiti.
-
B.
distanceFromPagoPago
Indicates the spatial distance between a given entity and the location of Pago Pago.
-
C.
distanceToGuam
Indicates the spatial distance between a given entity or location and Guam.
-
D.
distanceFromTongatapu
Indicates the measured distance between a given location and Tongatapu.
-
E.
distanceFromHonolulu
Indicates the spatial distance between a given location and Honolulu.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c6a67c81908d143aa25e1e803e |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:12 p.m.