Triple
T94033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Industriales |
E1889
|
entity |
| Predicate | homeVenueCapacity |
P2491
|
FINISHED |
| Object | Estadio Latinoamericano seating over 50,000 spectators |
—
|
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: Estadio Latinoamericano seating over 50,000 spectators | Statement: [Industriales, homeVenueCapacity, Estadio Latinoamericano seating over 50,000 spectators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeVenueCapacity Context triple: [Industriales, homeVenueCapacity, Estadio Latinoamericano seating over 50,000 spectators]
-
A.
seatingCapacity
chosen
Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
-
B.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
C.
numberOfHalls
Indicates the quantity of halls associated with a given entity or location.
-
D.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
E.
sportsFacility
Indicates that one entity is a sports facility where sports or physical activities can take place for the other 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2512ef600819084d3c627f0d534f4 |
completed | Feb. 28, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69a24eb9a5ac8190b1d1300e8c4e3606 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.