Triple
T16376637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Saint John |
E397694
|
entity |
| Predicate | typeOfKnighthood |
P1605
|
FINISHED |
| Object | crusading order |
—
|
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: crusading order | Statement: [Order of Saint John, typeOfKnighthood, crusading order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfKnighthood Context triple: [Order of Saint John, typeOfKnighthood, crusading order]
-
A.
isOrderOfKnighthood
chosen
Indicates that an entity is a formal chivalric or knightly order to which individuals can be admitted.
-
B.
confersKnighthood
Indicates that one entity formally grants the status or title of knighthood to another entity.
-
C.
knighthoodStatus
Indicates whether an entity currently holds, has held, or has been granted a formal knighthood or equivalent honorific status.
-
D.
dateOfKnighthood
Indicates the specific date on which an individual was formally granted knighthood.
-
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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d8a40c8190af37e7ed60b9c4dd |
completed | April 18, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.