Triple
T30956858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neve and Gliz |
E788698
|
entity |
| Predicate | introducedForEventInCountry |
P192496
|
FINISHED |
| Object | Italy |
—
|
NE NERFINISHED |
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: Italy | Statement: [Neve and Gliz, introducedForEventInCountry, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedForEventInCountry Context triple: [Neve and Gliz, introducedForEventInCountry, Italy]
-
A.
introducedForEventInCity
Indicates that something or someone was introduced specifically for an event that took place in a particular city.
-
B.
introducedEvent
Indicates that an entity is responsible for bringing an event into existence or initiating it for the first time.
-
C.
wasFirstPerformedInCountry
Indicates that an action, event, or work was first performed within the borders of a specified country.
-
D.
refersToEventCountry
Indicates that one entity references or is associated with the country in which a particular event takes place.
-
E.
introducedForEventType
Indicates that something was first created, implemented, or made available specifically in connection with a particular type of event.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: April 29, 2026, 8:54 p.m.