Triple
T591548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moda Center |
E17281
|
entity |
| Predicate | scoreboardType |
P3319
|
FINISHED |
| Object | center-hung scoreboard |
—
|
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: center-hung scoreboard | Statement: [Moda Center, scoreboardType, center-hung scoreboard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoreboardType Context triple: [Moda Center, scoreboardType, center-hung scoreboard]
-
A.
hasScoreboardType
chosen
Indicates the specific kind or category of scoreboard associated with an entity.
-
B.
hasScoreboard
Indicates that one entity is equipped with or associated with a scoreboard used to display scores or results.
-
C.
gameWinningScoreType
Indicates the type or category of score (e.g., goal, point, run) that results in winning a game.
-
D.
typeOfLeagueSystem
Indicates that one entity is the kind or structure of league system to which another entity belongs or in which it operates.
-
E.
typeOfCompetition
Indicates the specific kind or category of competition in which an entity participates or is involved.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbaf53081908eed240bed09f63b |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cc13988190892ca10bd7ae9f09 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.