Triple
T24565408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khalid bin Barghash |
E607772
|
entity |
| Predicate | warDescribedAs |
P69157
|
FINISHED |
| Object | shortest war in recorded history |
—
|
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: shortest war in recorded history | Statement: [Khalid bin Barghash, warDescribedAs, shortest war in recorded history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warDescribedAs Context triple: [Khalid bin Barghash, warDescribedAs, shortest war in recorded history]
-
A.
describesWarAs
chosen
Indicates that one entity characterizes, portrays, or provides an account of a particular war in relation to another entity.
-
B.
warFrontDepicted
Indicates that a particular war front or battlefield area is visually represented or shown in a depiction.
-
C.
warDepicted
Indicates that a work or representation portrays, illustrates, or otherwise depicts a particular war or armed conflict.
-
D.
warName
Indicates the specific name or title assigned to a particular war or armed conflict.
-
E.
depictsWarAs
Indicates that one entity portrays or represents war in a particular way or light.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a92082a881908896dcdda85559b9 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.