Triple
T31867632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty House |
E813502
|
entity |
| Predicate | hadStoreType |
P40799
|
FINISHED |
| Object | anchor store |
—
|
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: anchor store | Statement: [Liberty House, hadStoreType, anchor store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadStoreType Context triple: [Liberty House, hadStoreType, anchor store]
-
A.
hasShop
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
B.
hasNotableStore
Indicates that an entity operates or is associated with a store that is considered notable or significant in some way.
-
C.
storeType
chosen
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
D.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
E.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b094d7b881908c82c8a54665d20f |
completed | May 3, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:54 p.m.