Triple
T15454168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chasseurs à cheval of the Guard |
E371725
|
entity |
| Predicate | uniformTrimColor |
P100312
|
FINISHED |
| Object | crimson |
—
|
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: crimson | Statement: [Chasseurs à cheval of the Guard, uniformTrimColor, crimson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uniformTrimColor Context triple: [Chasseurs à cheval of the Guard, uniformTrimColor, crimson]
-
A.
hasHomeUniformTrimColor
Indicates that an entity’s home uniform features a specified trim or accent color.
-
B.
uniformAccentColor
chosen
Indicates that multiple elements share the same accent color, creating a consistent visual highlight across them.
-
C.
uniformStyle
Indicates that the related entities share the same or a consistent style, pattern, or formatting.
-
D.
traditionalKitColor
Indicates the customary or historically established color scheme used for an entity’s standard or primary kit or uniform.
-
E.
strapColor
Indicates the color attribute of a strap associated with an entity.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f131b1481909ff099c3b844ee07 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:31 a.m.