Triple
T18871998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Camões |
E461591
|
entity |
| Predicate | hasGrade |
P2393
|
FINISHED |
| Object | Grand Collar |
—
|
NE NERFINISHED |
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: Grand Collar | Statement: [Order of Camões, hasGrade, Grand Collar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand Collar Context triple: [Order of Camões, hasGrade, Grand Collar]
-
A.
Grand Collar
The Grand Collar is the highest and most prestigious grade of the Portuguese Order of Prince Henry, typically reserved for heads of state and other eminent figures.
-
B.
Grand Collar
chosen
The Grand Collar is the highest and most prestigious grade or class within certain orders of chivalry, typically reserved for heads of state or similarly eminent figures.
-
C.
Grand Collar
The Grand Collar is the highest and most prestigious grade of the Colombian Order of Boyacá, typically awarded to heads of state and other eminent figures.
-
D.
God Collar
God Collar is a comedic and satirical book by British stand-up comedian Marcus Brigstocke that explores religion, faith, and atheism.
-
E.
Collarmele
Collarmele is a small Italian town in the Abruzzo region, situated within the mountainous natural area of Sirente-Velino.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2aa9074819092137d236df3717b |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.