Triple
T2814267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Sibuyan Sea |
E54244
|
entity |
| Predicate | MusashiHitCountApprox |
P43773
|
FINISHED |
| Object | over 20 torpedo hits and numerous bomb hits |
—
|
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 20 torpedo hits and numerous bomb hits | Statement: [Battle of the Sibuyan Sea, MusashiHitCountApprox, over 20 torpedo hits and numerous bomb hits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MusashiHitCountApprox Context triple: [Battle of the Sibuyan Sea, MusashiHitCountApprox, over 20 torpedo hits and numerous bomb hits]
-
A.
numberOfMonksApprox
Indicates an approximate count or estimate of how many monks are involved or present in a given context.
-
B.
approximateNumberOfMissilesEliminated
Indicates the estimated quantity of missiles that have been neutralized or removed.
-
C.
hasSummitCountApprox
Indicates that an entity is associated with an approximate number of summits or peak ascents.
-
D.
approximateNumberOfMoai
Indicates that one entity specifies an estimated or approximate count of Moai associated with another entity.
-
E.
hasApproximateMemberCount
Indicates that an entity is associated with a group or collection for which only an estimated or non-exact number of members is known.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4ba34c819085a336498fc326b0 |
completed | March 7, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde0f4c648190b9812e64f30c39da |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 9:59 p.m.