Triple
T32237838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zulu Dawn |
E823517
|
entity |
| Predicate | depictsBattle |
P39393
|
FINISHED |
| Object | Battle of Isandlwana |
—
|
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: Battle of Isandlwana | Statement: [Zulu Dawn, depictsBattle, Battle of Isandlwana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsBattle Context triple: [Zulu Dawn, depictsBattle, Battle of Isandlwana]
-
A.
battleDepicted
chosen
Indicates that a work or representation visually portrays a specific battle or combat event.
-
B.
battleDescribed
Indicates that a particular battle is described, depicted, or recounted in the referenced source or representation.
-
C.
belligerentDepicted
Indicates that one entity visually represents or portrays a party engaged in a conflict or war (a belligerent) in relation to another entity.
-
D.
depictsConflict
Indicates that one entity visually represents or portrays a situation of conflict involving another entity or entities.
-
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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 1, 2026, 12:39 a.m.