Triple
T22989682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarksville, Indiana |
E572010
|
entity |
| Predicate | hasCommercialSignificance |
P12319
|
FINISHED |
| Object | regional shopping destination |
—
|
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 destination | Statement: [Clarksville, Indiana, hasCommercialSignificance, regional shopping destination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommercialSignificance Context triple: [Clarksville, Indiana, hasCommercialSignificance, regional shopping destination]
-
A.
hasCommercialAppeal
Indicates that something possesses qualities likely to attract buyers or generate profitable market interest.
-
B.
hasCommercialImportance
Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
-
C.
commercialSignificance
chosen
Indicates that something has notable economic or business importance, value, or impact in a commercial context.
-
D.
hasCommercialFunction
Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
-
E.
hasIndustrialSignificance
Indicates that something plays an important role or has notable impact within industrial processes, production, or applications.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182ea55cc8190b64b722ce8c45b53 |
completed | April 29, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:49 p.m.