Triple
T6457428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frente Atlético |
E142027
|
entity |
| Predicate | stadiumSection |
P24482
|
FINISHED |
| Object | south stand |
—
|
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: south stand | Statement: [Frente Atlético, stadiumSection, south stand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stadiumSection Context triple: [Frente Atlético, stadiumSection, south stand]
-
A.
hasSeatingSections
Indicates that an entity is divided into distinct seating areas or sections designated for occupants.
-
B.
fanSectionLocation
chosen
Indicates the specific area or section within a venue where a fan or group of fans is located.
-
C.
seatCategory
Indicates the classification or type of a seat (e.g., by comfort level, price tier, or section) assigned to an entity.
-
D.
tracksSector
Indicates that one entity monitors, follows, or keeps records of the status or performance of a particular sector.
-
E.
individualSeats
Indicates that an entity provides or consists of separate, single-person seating positions rather than shared or bench-style seating.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d639ec8190bb0a806da4118440 |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:48 p.m.