Triple
T37003590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota high school football state tournament |
E915721
|
entity |
| Predicate | previousChampionshipVenues |
P186900
|
FINISHED |
| Object | Hubert H. Humphrey Metrodome |
—
|
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: Hubert H. Humphrey Metrodome | Statement: [Minnesota high school football state tournament, previousChampionshipVenues, Hubert H. Humphrey Metrodome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousChampionshipVenues Context triple: [Minnesota high school football state tournament, previousChampionshipVenues, Hubert H. Humphrey Metrodome]
-
A.
previousChampionship
Indicates that one entity held a championship title immediately before another entity in a sequence of championships.
-
B.
venueForChampionshipGames
chosen
Indicates that a location serves as the site where championship games are held.
-
C.
conferenceChampionshipsHeldIn
Indicates that a particular conference’s championship events are held at a specified location or venue.
-
D.
previousVenue
Indicates that one venue was used or occupied before another in a sequence of venues.
-
E.
WorldCupVenueSince
Indicates that a location has served as a venue for World Cup events starting from a specified point in time.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
Created at: May 3, 2026, 4:14 p.m.