Triple
T31803178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Virgin Soldiers |
E811796
|
entity |
| Predicate | militaryConflictDepicted |
P44226
|
FINISHED |
| Object | Malayan Emergency |
—
|
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: Malayan Emergency | Statement: [The Virgin Soldiers, militaryConflictDepicted, Malayan Emergency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryConflictDepicted Context triple: [The Virgin Soldiers, militaryConflictDepicted, Malayan Emergency]
-
A.
warDepicted
chosen
Indicates that a work or representation portrays, illustrates, or otherwise depicts a particular war or armed conflict.
-
B.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
C.
militaryConflictIn
Indicates that a military conflict takes place within, or is geographically located in, a specified area or region.
-
D.
militaryConflictCovered
Indicates that one entity (such as a document, report, or media item) covers, describes, or reports on a specific military conflict involving another entity.
-
E.
militaryConflictView
Indicates a perspective, interpretation, or representation of a specific military conflict or battle.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 30, 2026, 11:42 p.m.