Triple
T24471217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Holloway |
E617104
|
entity |
| Predicate | attackConsequence |
P100772
|
FINISHED |
| Object | U.S. casualties and aircraft damage (7 February 1965) |
—
|
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: U.S. casualties and aircraft damage (7 February 1965) | Statement: [Camp Holloway, attackConsequence, U.S. casualties and aircraft damage (7 February 1965)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attackConsequence Context triple: [Camp Holloway, attackConsequence, U.S. casualties and aircraft damage (7 February 1965)]
-
A.
attackEffect
chosen
Indicates that one entity’s attack produces a specific effect or consequence on another entity.
-
B.
impactOutcome
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
-
C.
attackOccurred
Indicates that an act of aggression or violence was carried out by one party against another.
-
D.
unexpectedConsequenceOf
Indicates that one event, action, or condition occurs as an unforeseen or unintended result of another.
-
E.
attacksIf
Indicates that one entity initiates or carries out an attack on another entity when certain conditions are met.
- 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f299432b2881909502f9cbc7e4dbb0 |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:20 a.m.