Triple
T21644447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Zhenhai |
E534178
|
entity |
| Predicate | strategicObjectiveForFrance |
P145363
|
FINISHED |
| Object | destroy Chinese warships sheltering at Zhenhai |
—
|
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: destroy Chinese warships sheltering at Zhenhai | Statement: [Battle of Zhenhai, strategicObjectiveForFrance, destroy Chinese warships sheltering at Zhenhai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strategicObjectiveForFrance Context triple: [Battle of Zhenhai, strategicObjectiveForFrance, destroy Chinese warships sheltering at Zhenhai]
-
A.
objectiveOfFrance
Indicates that something is an objective, goal, or aim pursued by France.
-
B.
primaryObjectiveOfFrench
Indicates that something is the main or foremost goal, aim, or purpose associated with France or French entities.
-
C.
FrenchObjective
Indicates that an entity serves as the goal, target, or object of an action or relation specifically within a French linguistic or contextual framework.
-
D.
goalsForFrance
Indicates that the subject scored a goal while playing for the France national team.
-
E.
strategicGoalOfGermany
Indicates that something is a strategic goal or long-term objective pursued by Germany.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5393ed388190a0bc385de2b861bf |
completed | April 27, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:35 p.m.