Triple
T30951922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Liberty Place |
E788567
|
entity |
| Predicate | hasRetailConnection |
P87312
|
FINISHED |
| Object | The Shops at Liberty Place |
—
|
NE NERFINISHED |
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: The Shops at Liberty Place | Statement: [Two Liberty Place, hasRetailConnection, The Shops at Liberty Place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRetailConnection Context triple: [Two Liberty Place, hasRetailConnection, The Shops at Liberty Place]
-
A.
hasRetailNetwork
Indicates that an entity operates or is associated with a system of retail outlets or distribution channels through which products or services are sold.
-
B.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
-
C.
hasRetailStores
chosen
Indicates that an entity operates or possesses one or more physical retail store locations.
-
D.
hasRetailProduct
Indicates that an entity offers, sells, or makes available a particular product in a retail context.
-
E.
hasRetailServices
Indicates that an entity provides or offers retail-related services to customers.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00bc079314819096271bba60bee52d |
completed | May 10, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_6a00bba5bd408190ace5db0c4a90dc6f |
completed | May 10, 2026, 5:08 p.m. |
Created at: April 29, 2026, 8:53 p.m.