Triple
T4711616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wroxeter Roman City |
E104523
|
entity |
| Predicate | hasInterpretationCentre |
P57384
|
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: [Wroxeter Roman City, hasInterpretationCentre, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterpretationCentre Context triple: [Wroxeter Roman City, hasInterpretationCentre, true]
-
A.
isServiceCentreFor
Indicates that one entity functions as a service center that provides support, maintenance, or related services for another entity.
-
B.
hasServiceCenter
Indicates that an entity maintains or is associated with a service center that provides support, repair, or maintenance services.
-
C.
hasCircuitCentre
Indicates that an entity has, is associated with, or is organized around a specific circuit center that serves as its focal or central point.
-
D.
hasInterpretiveCenters
chosen
Indicates that an entity possesses or is associated with one or more interpretive centers that provide information, explanation, or context about it.
-
E.
isReferralCenterFor
Indicates that one entity serves as a designated center to which other entities send or direct cases, clients, or tasks for specialized services or handling.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd680beb508190b3d74e20e1c64405 |
completed | March 20, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69bd621ddcd88190903288566f5e5dab |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:17 p.m.