Triple
T13225210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eden Square Shopping Centre |
E314862
|
entity |
| Predicate | positionInTown |
P102712
|
FINISHED |
| Object | town centre of Urmston |
—
|
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: town centre of Urmston | Statement: [Eden Square Shopping Centre, positionInTown, town centre of Urmston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInTown Context triple: [Eden Square Shopping Centre, positionInTown, town centre of Urmston]
-
A.
positionOnTerritory
Indicates that one entity occupies or is located at a specific position within the spatial extent of another entity’s territory.
-
B.
positionEstablishedIn
Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
-
C.
hasRelativePositionInCity
chosen
Indicates that one entity occupies a specific spatial or positional relationship within the boundaries or layout of a particular city.
-
D.
positionOnCityCircle
Indicates that one entity is located along the circular boundary or ring-shaped layout defined by a city.
-
E.
positionOnCitizens
Indicates the stance, role, or status that an entity holds specifically in relation to citizens.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d3128348190836158467e9cfbe2 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:19 p.m.