Triple
T7039417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minamitorishima |
E163468
|
entity |
| Predicate | distanceToGuam |
P74689
|
FINISHED |
| Object | about 1,300 kilometres east of Guam |
—
|
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 1,300 kilometres east of Guam | Statement: [Minamitorishima, distanceToGuam, about 1,300 kilometres east of Guam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGuam Context triple: [Minamitorishima, distanceToGuam, about 1,300 kilometres east of Guam]
-
A.
distanceFromHawaii
Indicates the measured spatial distance between a given entity and the location of Hawaii.
-
B.
distanceFromTahiti
Indicates the measured spatial distance between a given location or object and Tahiti.
-
C.
distanceFromHonolulu
Indicates the spatial distance between a given location and Honolulu.
-
D.
distanceFromPagoPago
Indicates the spatial distance between a given entity and the location of Pago Pago.
-
E.
distanceFromMaui
Indicates the measured or specified distance between an entity and the location of Maui.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:36 p.m.