Triple
T1306072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Market Street retail area |
E27880
|
entity |
| Predicate | hasRetailType |
P17849
|
FINISHED |
| Object | fashion retailers |
—
|
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: fashion retailers | Statement: [Market Street retail area, hasRetailType, fashion retailers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRetailType Context triple: [Market Street retail area, hasRetailType, fashion retailers]
-
A.
hasRetailCategory
chosen
Indicates that an entity is associated with a specific retail category or type of retail business.
-
B.
hasRetailFormat
Indicates that one entity operates or is organized according to a particular retail format or store type.
-
C.
hasRetailArea
Indicates that an entity possesses or includes a designated space used for retail or commercial sales activities.
-
D.
hasRetailBoutiquesIn
Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
-
E.
hasShop
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.