Triple
T3832777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falkirk Stadium |
E91052
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
North Stand
The North Stand is a spectator seating section within Falkirk Stadium, used by fans attending football matches and other events.
|
E393903
|
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: North Stand | Statement: [Falkirk Stadium, hasStand, North Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Stand Context triple: [Falkirk Stadium, hasStand, North Stand]
-
A.
North Stand
North Stand is a spectator seating section within the City of Manchester Stadium, home of Manchester City Football Club.
-
B.
North Stand
North Stand was a spectator stand at Maine Road, the former home stadium of Manchester City Football Club.
-
C.
North Stand
The North Stand is one of the main spectator sections of Dublin’s Aviva Stadium, providing tiered seating behind one of the goals for rugby and football matches.
-
D.
North Stand
North Stand is a spectator seating section within Loftus Versfeld Stadium in Pretoria, South Africa, used for viewing rugby and football matches.
-
E.
North Stand
North Stand is a spectator stand at Villa Park, the home stadium of Aston Villa Football Club in Birmingham, England.
- 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: North Stand Triple: [Falkirk Stadium, hasStand, North Stand]
Generated description
The North Stand is a spectator seating section within Falkirk Stadium, used by fans attending football matches and other events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: North Stand Target entity description: The North Stand is a spectator seating section within Falkirk Stadium, used by fans attending football matches and other events.
-
A.
North Stand
North Stand is a spectator seating section at East End Park, the home stadium of Dunfermline Athletic Football Club in Scotland.
-
B.
North Stand
North Stand is a spectator seating section within the Madejski Stadium, home to Reading Football Club in Reading, England.
-
C.
North Stand
North Stand is a spectator seating section of the Gtech Community Stadium, home to Brentford Football Club in London.
-
D.
North Stand
The North Stand is a spectator seating section within Colchester United’s Colchester Community Stadium, typically housing home supporters during football matches.
-
E.
North Stand
The North Stand is one of the main spectator sections of Dublin’s Aviva Stadium, providing tiered seating behind one of the goals for rugby and football matches.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb88b8a8819082d4bdbc5bc45366 |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503ffab6c81909d64a11511693c1f |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b507be443c8190ad7542f7b897de50 |
completed | March 14, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5092c2460819087188184be28290b |
completed | March 14, 2026, 7:07 a.m. |
Created at: March 9, 2026, 3:17 p.m.