Triple
T3057618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen's Chapel |
E60517
|
entity |
| Predicate | hasChapelRoyalStatus |
P917
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Queen's Chapel, hasChapelRoyalStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChapelRoyalStatus Context triple: [Queen's Chapel, hasChapelRoyalStatus, true]
-
A.
hasRoyalWarrantFrom
Indicates that one party has been formally granted a royal warrant or official endorsement by a specific royal person or household.
-
B.
hasRoyalHouse
Indicates that an entity is associated with or belongs to a particular royal house or dynasty.
-
C.
hasRoyalCharter
Indicates that an entity has been formally granted a royal charter by a monarch or royal authority.
-
D.
isRoyalTitle
Indicates that something is a formal title associated with royalty or a royal rank.
-
E.
hasRoyalConnection
chosen
Indicates a relationship where an entity is linked or associated in some notable way to royalty, a royal family, or a royal institution.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e162d148190969fb422a45d052c |
completed | March 8, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.