Triple
T11820261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mischief Reef |
E281105
|
entity |
| Predicate | distanceFromPalawanApprox |
P101678
|
FINISHED |
| Object | about 130 nautical miles |
—
|
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 130 nautical miles | Statement: [Mischief Reef, distanceFromPalawanApprox, about 130 nautical miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPalawanApprox Context triple: [Mischief Reef, distanceFromPalawanApprox, about 130 nautical miles]
-
A.
distanceFromManila
Indicates the measured spatial distance between a given entity’s location and the city of Manila.
-
B.
distanceFromDavaoCity
Indicates the measured spatial distance between a given location and Davao City.
-
C.
distanceToDavaoCity
Indicates the measured distance between a given entity’s location and Davao City.
-
D.
approxDistanceFromCebuCity
Indicates that one entity is located at an approximate distance from Cebu City.
-
E.
approximateTravelTimeFromPalompon
Indicates the estimated duration it takes to travel from Palompon to another specified location.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e87e488190905bc3bb6d721e56 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:42 p.m.