Triple
T31867642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty House |
E813502
|
entity |
| Predicate | storeLocationType |
P100211
|
FINISHED |
| Object | shopping centers |
—
|
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: shopping centers | Statement: [Liberty House, storeLocationType, shopping centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storeLocationType Context triple: [Liberty House, storeLocationType, shopping centers]
-
A.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
B.
hasStoreLocation
chosen
Indicates that an entity operates or maintains a store at a specified physical location.
-
C.
slotLocation
Indicates the specific position or compartment within a larger container or system where an item is placed or assigned.
-
D.
warehouseType
Indicates the specific category or classification of a warehouse based on its function, storage characteristics, or operational role.
-
E.
storedBy
Indicates that one entity is kept, maintained, or held in storage by another entity.
- 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_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 11:54 p.m.