Triple
T3157203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ullevi Stadium |
E66012
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Got Event |
E65755
|
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: Got Event | Statement: [Ullevi Stadium, operator, Got Event]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Got Event Context triple: [Ullevi Stadium, operator, Got Event]
-
A.
Got Event
chosen
Got Event is a Gothenburg-based municipal events company that manages and operates major sports and entertainment venues in the city.
-
B.
Main Events
Main Events is a prominent American boxing promotion company known for organizing major championship bouts and developing top-tier fighters.
-
C.
JW Event
JW Event is a mobile application provided by Jehovah’s Witnesses for managing and accessing information about their conventions, assemblies, and other organized events.
-
D.
Media Independent Event Service
Media Independent Event Service is a component of the IEEE 802.21 framework that provides a standardized way to report and manage network-related events across heterogeneous access technologies to support seamless handovers.
-
E.
Happenings
Happenings were an experimental art movement of the late 1950s and 1960s that blended performance, visual art, and audience participation into spontaneous, often unpredictable events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5eafa4c8190a65cc1312823144c |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b225068444819080e2b8b6b1260613 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.