Triple
T125075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assembly Row |
E2528
|
entity |
| Predicate | hasRetailFormat |
P4952
|
FINISHED |
| Object | outlet stores |
—
|
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: outlet stores | Statement: [Assembly Row, hasRetailFormat, outlet stores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRetailFormat Context triple: [Assembly Row, hasRetailFormat, outlet stores]
-
A.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
B.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
C.
commercializedIn
Indicates that something has been brought to market or made available for commercial sale or use within a specified place or context.
-
D.
hasOnlinePlatform
Indicates that an entity operates, maintains, or is associated with a presence or service on an online platform.
-
E.
availableAs
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
- F. None of above. chosen
Provenance (4 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573e4e6481908252dfef2e34f46e |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564a54948190ba30bee858173b27 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.