Triple
T532762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCSI |
E12258
|
entity |
| Predicate | chivalricOrderType |
P1605
|
FINISHED |
| Object | order of chivalry |
—
|
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: order of chivalry | Statement: [GCSI, chivalricOrderType, order of chivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chivalricOrderType Context triple: [GCSI, chivalricOrderType, order of chivalry]
-
A.
isOrderOfKnighthood
chosen
Indicates that an entity is a formal chivalric or knightly order to which individuals can be admitted.
-
B.
honourType
Indicates the specific category or classification of an honour or award associated with an entity.
-
C.
confersKnighthood
Indicates that one entity formally grants the status or title of knighthood to another entity.
-
D.
isOldestRankOfKnighthoodIn
Indicates that a particular rank of knighthood is the most senior or highest-ranking within a specified order, system, or jurisdiction.
-
E.
typeOfPeerage
Indicates the specific rank or category within a system of peerage that a given title or noble status belongs to.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b3e49081909810fa417b31306f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.