Triple
T12121880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republican Guard (France) |
E288714
|
entity |
| Predicate | ceremonialUniformFeature |
P6085
|
FINISHED |
| Object | plumed helmet |
—
|
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: plumed helmet | Statement: [Republican Guard (France), ceremonialUniformFeature, plumed helmet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonialUniformFeature Context triple: [Republican Guard (France), ceremonialUniformFeature, plumed helmet]
-
A.
ceremonialDressFeature
chosen
Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
-
B.
ceremonialSymbol
Indicates that one entity serves as a symbol used in a formal or ritual ceremony for another entity or concept.
-
C.
wearsInsigniaAt
Indicates that an entity is wearing or displaying a particular insignia at a specified location or point in time.
-
D.
ceremonialAssociation
Indicates a relationship where entities are linked through participation in, role within, or connection to a formal ceremony or ritual event.
-
E.
ceremonialStatus
Indicates the formal or symbolic standing an entity holds within a ritual, tradition, or official ceremony.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.