Triple
T9178183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS O'Brien (DD-415) |
E220252
|
entity |
| Predicate | locationOfTorpedoHit |
P33335
|
FINISHED |
| Object | south of the Solomon Islands |
—
|
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: south of the Solomon Islands | Statement: [USS O'Brien (DD-415), locationOfTorpedoHit, south of the Solomon Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfTorpedoHit Context triple: [USS O'Brien (DD-415), locationOfTorpedoHit, south of the Solomon Islands]
-
A.
locationOfTorpedoAttack
chosen
Indicates the place where a torpedo attack occurred or was carried out.
-
B.
dateHitByTorpedo
Indicates the specific date on which an entity was struck by a torpedo.
-
C.
numberOfTorpedoesHit
Indicates the number of torpedoes that successfully struck a specified target.
-
D.
locationOfKamikazeAttack
Indicates the place where a kamikaze attack occurred or was carried out.
-
E.
torpedoed
Indicates that one entity attacked and struck another entity using a torpedo, typically causing damage or destruction.
- F. None of above.
Provenance (3 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc24eeb988190af82dfba49aac2f8 |
completed | April 1, 2026, 6:59 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.