Triple
T4291605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Alamein War Museum |
E99604
|
entity |
| Predicate | focusesOnConflict |
P18893
|
FINISHED |
| Object | Allied forces vs Axis forces in North Africa |
—
|
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: Allied forces vs Axis forces in North Africa | Statement: [El Alamein War Museum, focusesOnConflict, Allied forces vs Axis forces in North Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnConflict Context triple: [El Alamein War Museum, focusesOnConflict, Allied forces vs Axis forces in North Africa]
-
A.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
conflictSpecific
chosen
Indicates a specific, concrete instance or type of conflict that exists between the related entities.
-
C.
reportedConflict
Indicates that one party has formally reported the existence of a conflict involving another party or situation.
-
D.
mainConflict
Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
-
E.
endedConflict
Indicates that a previously ongoing conflict between entities has been brought to an end.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3508035a08190b752c8edce0aff86 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.