Triple
T5134062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town Hall, King's Lynn |
E115774
|
entity |
| Predicate | hasFacadePattern |
P31480
|
FINISHED |
| Object | chequered flint |
—
|
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: chequered flint | Statement: [Town Hall, King's Lynn, hasFacadePattern, chequered flint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFacadePattern Context triple: [Town Hall, King's Lynn, hasFacadePattern, chequered flint]
-
A.
facadeFeature
chosen
Indicates that one element functions as a distinct architectural or design feature on the façade of another structure.
-
B.
hasLEDFacade
Indicates that an entity features a facade equipped with LED lighting or LED display technology.
-
C.
hasFacet
Indicates that an entity possesses a particular aspect, side, or dimension as one of its distinguishable parts or characteristics.
-
D.
hasAspectSystem
Indicates that an entity possesses or is associated with a particular aspect system, such as a structured set of characteristics, dimensions, or perspectives.
-
E.
famousPattern
Indicates that one entity is widely recognized or renowned for a particular style, design, or recurring configuration associated with it.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.