Triple
T1751120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Market Lane Shopping Centre |
E38442
|
entity |
| Predicate | isOutdoorOrIndoor |
P8552
|
FINISHED |
| Object | primarily outdoor-oriented retail centre |
—
|
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: primarily outdoor-oriented retail centre | Statement: [Market Lane Shopping Centre, isOutdoorOrIndoor, primarily outdoor-oriented retail centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOutdoorOrIndoor Context triple: [Market Lane Shopping Centre, isOutdoorOrIndoor, primarily outdoor-oriented retail centre]
-
A.
indoorOrOutdoor
chosen
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
-
B.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
C.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
D.
arenaType
Indicates the specific kind or category of arena associated with an entity or event.
-
E.
hasIndoorExhibits
Indicates that an entity provides or contains exhibits that are located indoors.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.