Triple
T634991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AT&T Stadium |
E16603
|
entity |
| Predicate | videoBoardType |
P7148
|
FINISHED |
| Object | HD LED display |
—
|
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: HD LED display | Statement: [AT&T Stadium, videoBoardType, HD LED display]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoBoardType Context triple: [AT&T Stadium, videoBoardType, HD LED display]
-
A.
hasVideoBoard
Indicates that an entity is equipped with or includes a video board (graphics/display hardware component).
-
B.
viewType
Indicates the specific manner or format in which something is displayed, presented, or visually arranged.
-
C.
displayType
chosen
Indicates the manner or format in which something is presented, shown, or rendered.
-
D.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
E.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.