Triple
T30940887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Hall, Haverfordwest |
E788256
|
entity |
| Predicate | isCivicCentre |
P147542
|
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: [County Hall, Haverfordwest, isCivicCentre, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivicCentre Context triple: [County Hall, Haverfordwest, isCivicCentre, true]
-
A.
hasCityCentreLocation
Indicates that something is located in, or directly associated with, the central area of a city.
-
B.
municipalCentre
chosen
Indicates that a location functions as the primary administrative or civic center for a municipality.
-
C.
isDowntownCoreOf
Indicates that a location constitutes the central, most urbanized and commercially dense area of a larger city or metropolitan region.
-
D.
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.
-
E.
isSocialCenterOf
Indicates that one entity serves as the primary gathering place or hub for social activities and interactions for another entity or group.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6930fe7a48190b5cec6c1bc4627b6 |
completed | May 3, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:53 p.m.