Triple
T1328305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Azteca |
E28380
|
entity |
| Predicate | hasLuxuryBoxes |
P3754
|
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: [Estadio Azteca, hasLuxuryBoxes, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLuxuryBoxes Context triple: [Estadio Azteca, hasLuxuryBoxes, yes]
-
A.
hasLuxurySuites
chosen
Indicates that an entity provides or contains high-end, premium-quality suites as part of its accommodations or offerings.
-
B.
hasClubSeats
Indicates that an entity (such as a venue or section) includes or is equipped with club-level seating.
-
C.
hasConcessions
Indicates that one entity provides or contains concession facilities, services, or rights (such as food, drink, or merchandise sales) for another entity or within a given context.
-
D.
numberOfLuxurySuites
Indicates the total count of luxury suites associated with a given entity.
-
E.
hasBackstageFacilities
Indicates that a venue or location provides backstage areas and related facilities for performers or staff.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c1d8188190b15a641a08345adc |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.