Triple
T26287089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordre de Saint-Michel |
E661165
|
entity |
| Predicate | hasCollarElement |
P43568
|
FINISHED |
| Object | interlaced double knots |
—
|
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: interlaced double knots | Statement: [Ordre de Saint-Michel, hasCollarElement, interlaced double knots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollarElement Context triple: [Ordre de Saint-Michel, hasCollarElement, interlaced double knots]
-
A.
hasCollarFunction
Indicates that one entity serves the role or function of a collar in relation to another entity.
-
B.
collarFeature
chosen
Indicates that one entity has a specific characteristic, detail, or attribute related to a collar.
-
C.
hasBridle
Indicates that one entity is equipped with or possesses a bridle in relation to another entity.
-
D.
neckCharacteristic
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
-
E.
hasClasps
Indicates that one entity is equipped with or features clasps that fasten, secure, or attach it to another entity or its parts.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 26, 2026, 10:05 p.m.