Triple
T24697552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Grainger |
E611636
|
entity |
| Predicate | influencedUrbanFormOf |
P73473
|
FINISHED |
| Object | central Newcastle upon Tyne |
—
|
NE NERFINISHED |
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: central Newcastle upon Tyne | Statement: [Richard Grainger, influencedUrbanFormOf, central Newcastle upon Tyne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedUrbanFormOf Context triple: [Richard Grainger, influencedUrbanFormOf, central Newcastle upon Tyne]
-
A.
hasUrbanInfluence
chosen
Indicates that one entity exerts or reflects the characteristics, impact, or style of an urban area on another entity.
-
B.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
C.
urbanPlanningInfluencedBy
Indicates that the principles, decisions, or outcomes of urban planning are shaped or guided by another factor, entity, or process.
-
D.
urbanMorphology
Indicates the spatial form, structure, and layout relationships that characterize the physical configuration of an urban area.
-
E.
isUrbanForm
Indicates that an entity represents or exhibits characteristics of an urban built environment or city-like spatial structure.
- 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:22 a.m.