Triple
T17328303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriman, New York |
E420744
|
entity |
| Predicate | shoppingRole |
P47325
|
FINISHED |
| Object | regional shopping hub |
—
|
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: regional shopping hub | Statement: [Harriman, New York, shoppingRole, regional shopping hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoppingRole Context triple: [Harriman, New York, shoppingRole, regional shopping hub]
-
A.
hasShoppingMall
Indicates that one entity possesses, contains, or includes a shopping mall within its area or domain.
-
B.
isShoppingDestination
chosen
Indicates that a place serves as a primary location where people go to shop for goods or services.
-
C.
hasGroceryStores
Indicates that one entity possesses, contains, or is associated with one or more grocery stores.
-
D.
purchaseContext
Indicates the circumstances, conditions, or situational details under which a purchase occurs or is made.
-
E.
isShoppingStreet
Indicates that a location functions primarily as a street characterized by a concentration of shops and commercial retail activity.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d42154819093a240f677a63145 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:43 a.m.