Triple
T20815605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Benito Villamarín |
E512428
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
Gol Sur stand
Gol Sur stand is a spectator section of Estadio Benito Villamarín, the home stadium of Real Betis in Seville, Spain.
|
E1453032
|
NE FINISHED |
How this triple was built (4 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: Gol Sur stand | Statement: [Estadio Benito Villamarín, hasStand, Gol Sur stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gol Sur stand Context triple: [Estadio Benito Villamarín, hasStand, Gol Sur stand]
-
A.
Gol Sur stand
Gol Sur stand is a spectator section of Valencia CF’s Mestalla Stadium, located behind one of the goals and known for housing passionate home supporters.
-
B.
Gol
Gol is a municipality in Viken county, Norway, known for its mountainous landscapes, outdoor recreation, and the historic Gol Stave Church replica at the Gordarike family park.
-
C.
Gol Sud
Gol Sud is the southern stand of FC Barcelona's Camp Nou stadium, traditionally home to some of the club’s most passionate supporters.
-
D.
Gol Gol
Gol Gol is a small town in southwestern New South Wales, Australia, situated on the Murray River near Mildura in the Sunraysia agricultural region.
-
E.
GOLLOG
GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gol Sur stand Triple: [Estadio Benito Villamarín, hasStand, Gol Sur stand]
Generated description
Gol Sur stand is a spectator section of Estadio Benito Villamarín, the home stadium of Real Betis in Seville, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gol Sur stand Target entity description: Gol Sur stand is a spectator section of Estadio Benito Villamarín, the home stadium of Real Betis in Seville, Spain.
-
A.
Gol Sur stand
Gol Sur stand is a spectator section of Valencia CF’s Mestalla Stadium, located behind one of the goals and known for housing passionate home supporters.
-
B.
Gol
Gol is a municipality in Viken county, Norway, known for its mountainous landscapes, outdoor recreation, and the historic Gol Stave Church replica at the Gordarike family park.
-
C.
Gol Sud
Gol Sud is the southern stand of FC Barcelona's Camp Nou stadium, traditionally home to some of the club’s most passionate supporters.
-
D.
Gol Gol
Gol Gol is a small town in southwestern New South Wales, Australia, situated on the Murray River near Mildura in the Sunraysia agricultural region.
-
E.
GOLLOG
GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
- F. None of above. chosen
Provenance (5 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d5a514819093d1a18626de8857 |
completed | April 21, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090074036081908b02a3553181c77c |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a090390e6a0819092dbae50a5845961 |
completed | May 16, 2026, 11:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090402f0708190910174b850dc779a |
completed | May 16, 2026, 11:55 p.m. |
Created at: April 16, 2026, 12:41 p.m.