Triple
T15363027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SHLD |
E367336
|
entity |
| Predicate | underlyingCompanyStoreFormats |
P4952
|
FINISHED |
| Object | Sears full-line 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: Sears full-line stores | Statement: [SHLD, underlyingCompanyStoreFormats, Sears full-line stores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyStoreFormats Context triple: [SHLD, underlyingCompanyStoreFormats, Sears full-line stores]
-
A.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
B.
reportedlyStores
Indicates that an entity is said or believed, based on reports or claims, to store or hold another entity, without confirming that this storage actually occurs.
-
C.
underlyingCompanyType
Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
-
D.
associatedRetailer
Indicates that one entity has a business or operational connection with a particular retailer, such as partnership, distribution, or sales affiliation.
-
E.
hasRetailFormat
chosen
Indicates that one entity operates or is organized according to a particular retail format or store type.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e479f188190bbbc3dcd73853e02 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca9ab7e88190a9261ef27be665b1 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.