Triple
T2420080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonia Peralvillo |
E53397
|
entity |
| Predicate | hasCommerceType |
P17849
|
FINISHED |
| Object | small local businesses |
—
|
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: small local businesses | Statement: [Colonia Peralvillo, hasCommerceType, small local businesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommerceType Context triple: [Colonia Peralvillo, hasCommerceType, small local businesses]
-
A.
hasShop
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
B.
isCommercialHubIn
Indicates that a place functions as a primary center of commercial or business activity within a specified larger area or region.
-
C.
hasRetailCategory
chosen
Indicates that an entity is associated with a specific retail category or type of retail business.
-
D.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
E.
hasListedProductType
Indicates that an entity has a product associated with it that is categorized under a specific listed product type.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69abc5a889948190b77de4ef6ac815a8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:42 p.m.