Triple
T28258901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasión sin límites |
E712527
|
entity |
| Predicate | isCommercialTagline |
P168963
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Pasión sin límites, isCommercialTagline, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommercialTagline Context triple: [Pasión sin límites, isCommercialTagline, false]
-
A.
usedAsMarketingTaglineFor
Indicates that something is employed as a promotional slogan or catchphrase to market a particular product, service, brand, or entity.
-
B.
hasTagline
Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
-
C.
hasCommercialAppeal
Indicates that something possesses qualities likely to attract buyers or generate profitable market interest.
-
D.
taglineMatch
Indicates that two entities share the same tagline or that a tagline corresponds to a given entity.
-
E.
isCommercialHubIn
Indicates that a place functions as a primary center of commercial or business activity within a specified larger area or region.
- F. None of above. chosen
Provenance (4 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 27, 2026, 11:10 p.m.