Triple
T31302653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lover Fest |
E798248
|
entity |
| Predicate | Lover Fest WestVenue |
P26210
|
FINISHED |
| Object | SoFi Stadium |
—
|
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: SoFi Stadium | Statement: [Lover Fest, Lover Fest WestVenue, SoFi Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Lover Fest WestVenue Context triple: [Lover Fest, Lover Fest WestVenue, SoFi Stadium]
-
A.
laterPerformanceVenue
Indicates that a performance or event took place at this venue at a later time than another referenced performance or venue.
-
B.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
C.
festivalHeldIn
chosen
Indicates that a festival takes place or is hosted at a specific location or venue.
-
D.
locatedInFestival
Indicates that something exists or takes place within the spatial or organizational boundaries of a specific festival.
-
E.
festivalAttracts
Indicates that a festival draws or brings in attendees, participants, or interest toward itself.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:14 p.m.