Triple
T591566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moda Center |
E17281
|
entity |
| Predicate | hasScoreboardRibbonBoards |
P2583
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Moda Center, hasScoreboardRibbonBoards, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScoreboardRibbonBoards Context triple: [Moda Center, hasScoreboardRibbonBoards, yes]
-
A.
hasScoreboard
chosen
Indicates that one entity is equipped with or associated with a scoreboard used to display scores or results.
-
B.
hasScoreboardType
Indicates the specific kind or category of scoreboard associated with an entity.
-
C.
hasScoreboardLocation
Indicates the spatial or logical position where a scoreboard is placed or associated within a given context.
-
D.
hasMottoRibbon
Indicates that an entity features or is associated with a ribbon element specifically used to display a motto.
-
E.
hasTrophyForm
Indicates that one entity exists in, or is characterized by, a special trophy-like form or version of another entity.
- 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.