Triple
T1424024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial State Crown |
E30287
|
entity |
| Predicate | positionOfStEdwardsSapphire |
P28944
|
FINISHED |
| Object | top cross of the crown |
—
|
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: top cross of the crown | Statement: [Imperial State Crown, positionOfStEdwardsSapphire, top cross of the crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOfStEdwardsSapphire Context triple: [Imperial State Crown, positionOfStEdwardsSapphire, top cross of the crown]
-
A.
stateGemstone
Indicates a relationship where a state is officially associated with or designated a particular gemstone.
-
B.
coronationSite
Indicates the place where a coronation ceremony for a person (typically a monarch) took or takes place.
-
C.
knightingLocation
Indicates the place where a knighting ceremony or act of conferring knighthood occurs.
-
D.
flagshipStationLocation
Indicates the location where an organization’s primary or flagship station is situated.
-
E.
cathedralLocatedIn
Indicates that a cathedral is situated within or belongs to a specific geographic or administrative location.
- 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.