Triple
T2867160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Sidi Barrani |
E63467
|
entity |
| Predicate | hasMonthOfConflict |
P42824
|
FINISHED |
| Object | December 1940 |
—
|
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: December 1940 | Statement: [Battle of Sidi Barrani, hasMonthOfConflict, December 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonthOfConflict Context triple: [Battle of Sidi Barrani, hasMonthOfConflict, December 1940]
-
A.
hasPartOfConflict
Indicates that one conflict includes another conflict as a constituent or subordinate part of it.
-
B.
beganDuringConflict
Indicates that the action or relationship started while a specified conflict was ongoing.
-
C.
conflictPeriod
Indicates the time span during which a particular conflict or dispute is occurring or in effect between the related entities.
-
D.
majorConflictYear
Indicates the year in which a major conflict, such as a war or large-scale violent confrontation, took place or reached a defining point.
-
E.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfbcebcc81909a78a1787d823e3e |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:02 p.m.