Triple
T9704964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wine Capital of India |
E234874
|
entity |
| Predicate | linkedToActivity |
P48591
|
FINISHED |
| Object | wine tourism |
—
|
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: wine tourism | Statement: [Wine Capital of India, linkedToActivity, wine tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToActivity Context triple: [Wine Capital of India, linkedToActivity, wine tourism]
-
A.
associatedActivity
chosen
Indicates that one entity is linked to, involved in, or characterized by a particular activity or set of activities.
-
B.
targetedActivity
Indicates that an activity is specifically directed or focused toward a particular entity, group, or objective.
-
C.
laterActivity
Indicates that one activity occurs after another in time, establishing a temporal ordering between them.
-
D.
linkedProgram
Indicates that one program is associated or connected to another program in a meaningful or dependent way.
-
E.
isLinkedToEvent
Indicates that an entity has an association or connection with a specific event.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d74afb4819084174aab5bcdb6e0 |
completed | April 1, 2026, 10:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:18 p.m.