Triple
T35050912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Battle of Hoover Dam |
E1011326
|
entity |
| Predicate | canResultInVictoryFor |
P4779
|
FINISHED |
| Object | New California Republic |
—
|
NE NERFINISHED |
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: New California Republic | Statement: [Second Battle of Hoover Dam, canResultInVictoryFor, New California Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canResultInVictoryFor Context triple: [Second Battle of Hoover Dam, canResultInVictoryFor, New California Republic]
-
A.
hasVictoriousPower
Indicates that one entity possesses a power, force, or capability that triumphs over opposition or competing entities.
-
B.
canBeWonWithout
Indicates that a goal, contest, or outcome can be successfully achieved without the involvement, use, or occurrence of a specified entity or condition.
-
C.
classWins
Indicates that a particular class has achieved victory or success in a competitive context.
-
D.
victoryIn
chosen
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
-
E.
conditionOfVictory
Indicates the specific circumstances or criteria under which a participant is considered to have won.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.