Triple
T863496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Boyacá |
E18648
|
entity |
| Predicate | hasGrade |
P2393
|
FINISHED |
| Object | Knight |
E86675
|
NE 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: Knight | Statement: [Order of Boyacá, hasGrade, Knight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knight Context triple: [Order of Boyacá, hasGrade, Knight]
-
A.
Knight
A Knight in the Order of Prince Henry is a distinguished rank of honor awarded by Portugal for notable services to the country and the spread of Portuguese culture.
-
B.
Knight
chosen
Knight is a chivalric rank traditionally bestowed for distinguished service or merit, often conferring honor and social prestige.
-
C.
Knight Grand Commander
Knight Grand Commander is the highest and most prestigious rank of knighthood within the Most Exalted Order of the Star of India, historically awarded for exceptional service to the British Indian Empire.
-
D.
Goodwin Knight
Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
-
E.
Knight of the Bath
The Knight of the Bath is a rank of knighthood within the British Order of the Bath, historically bestowed as a high honor for distinguished military or civil service.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac6956488190a5644cdd5b55684f |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c5c15c8190a91eb3746007ebf5 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.