Triple
T7670371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Zouaves |
E173731
|
entity |
| Predicate | uniformStyleInfluence |
P8654
|
FINISHED |
| Object | North African dress |
—
|
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: North African dress | Statement: [French Zouaves, uniformStyleInfluence, North African dress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uniformStyleInfluence Context triple: [French Zouaves, uniformStyleInfluence, North African dress]
-
A.
uniformStyle
Indicates that the related entities share the same or a consistent style, pattern, or formatting.
-
B.
usedStyle
Indicates that one entity employed or applied a particular style, method, or manner associated with another entity.
-
C.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
D.
relatedStyle
chosen
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
-
E.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.