Triple
T37334637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar: Live in South America |
E926854
|
entity |
| Predicate | hasRegionOfTour |
P141924
|
FINISHED |
| Object | South America |
E1813
|
NE 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: South America | Statement: [Don Omar: Live in South America, hasRegionOfTour, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionOfTour Context triple: [Don Omar: Live in South America, hasRegionOfTour, South America]
-
A.
regionOfTour
chosen
Indicates that a specified geographic or administrative region is the location or scope within which a particular tour takes place.
-
B.
connectsToTouristRegion
Indicates that one entity has a direct linkage or association to a tourist region, such as through location, access, or service provision.
-
C.
hasPilgrimageRegion
Indicates that an entity is associated with a specific region that serves as the destination or location for its pilgrimage activities.
-
D.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
E.
hasTourismRegionBrand
Indicates that an entity is associated with or belongs to a specific tourism region brand used for destination marketing or regional tourism identity.
- F. None of above.
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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4076ed34148190a2cd8c01987ee867 |
completed | June 28, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.