Triple
T1313747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passage department store |
E28052
|
entity |
| Predicate | hasClientele |
P734
|
FINISHED |
| Object | local residents |
—
|
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: local residents | Statement: [Passage department store, hasClientele, local residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClientele Context triple: [Passage department store, hasClientele, local residents]
-
A.
hasClient
chosen
Indicates that an entity maintains a client relationship with another entity, typically as a provider of goods or services.
-
B.
hasAudienceSize
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
-
C.
hasMarketParticipants
Indicates that a market or trading venue involves or is associated with specific participating entities (such as buyers, sellers, or intermediaries).
-
D.
hasAudience
Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
-
E.
hasClerk
Indicates that an entity is served, assisted, or managed by a clerk 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1585d3081909ca0221c23de63ba |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.