Triple
T1424023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial State Crown |
E30287
|
entity |
| Predicate | positionOfBlackPrincesRuby |
P28943
|
FINISHED |
| Object | front cross above the band |
—
|
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: front cross above the band | Statement: [Imperial State Crown, positionOfBlackPrincesRuby, front cross above the band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOfBlackPrincesRuby Context triple: [Imperial State Crown, positionOfBlackPrincesRuby, front cross above the band]
-
A.
knightingLocation
Indicates the place where a knighting ceremony or act of conferring knighthood occurs.
-
B.
containsRoyalResidence
Indicates that a location includes or encompasses a residence used by royalty.
-
C.
originalLocationInBirmingham
Indicates that an entity was originally located in Birmingham.
-
D.
castleLocatedIn
Indicates that a castle is situated within or belongs to a specific geographic or administrative location.
-
E.
boroughOf
Indicates that one place is a borough that is administratively or geographically part of another, typically larger, municipal entity.
- F. None of above. chosen
Provenance (4 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c52e4ed881908d85e0cb9fe851ac |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c4752abc8190a33b634c4d6fad28 |
completed | March 1, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.