Triple
T3384485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philips Stadion |
E71262
|
entity |
| Predicate | hasStand |
P6313
|
FINISHED |
| Object |
West Stand
West Stand is a main spectator section of Philips Stadion, the home ground of Dutch football club PSV Eindhoven.
|
E352793
|
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: West Stand | Statement: [Philips Stadion, hasStand, West Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Stand Context triple: [Philips Stadion, hasStand, West Stand]
-
A.
West Stand
West Stand is a spectator seating section of Loftus Versfeld Stadium in Pretoria, South Africa, used for viewing rugby and football matches.
-
B.
West Stand
West Stand was a prominent spectator stand at Arsenal FC’s former Highbury stadium, known for housing home supporters and offering key views of the pitch.
-
C.
West Stand
West Stand is a spectator seating section located on the western side of the Peninsula Stadium, providing views of the pitch for attending fans.
-
D.
West Stand
West Stand is one of the main spectator stands in Dublin’s Aviva Stadium, providing seating and facilities for fans during sports and entertainment events.
-
E.
West Stand
West Stand is one of the main spectator stands at the Madejski Stadium, providing seating and facilities for fans attending events there.
- 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: West Stand Triple: [Philips Stadion, hasStand, West Stand]
Generated description
West Stand is a main spectator section of Philips Stadion, the home ground of Dutch football club PSV Eindhoven.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: West Stand Target entity description: West Stand is a main spectator section of Philips Stadion, the home ground of Dutch football club PSV Eindhoven.
-
A.
West Stand
West Stand is one of the main spectator stands in Dublin’s Aviva Stadium, providing seating and facilities for fans during sports and entertainment events.
-
B.
West Stand
West Stand is a spectator seating section of Loftus Versfeld Stadium in Pretoria, South Africa, used for viewing rugby and football matches.
-
C.
West Stand
West Stand is a spectator seating section located on the western side of the Peninsula Stadium, providing views of the pitch for attending fans.
-
D.
West Stand
West Stand is one of the main spectator stands at the Madejski Stadium, providing seating and facilities for fans attending events there.
-
E.
West Stand
West Stand was a prominent spectator stand at Arsenal FC’s former Highbury stadium, known for housing home supporters and offering key views of the pitch.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5ec85d08190b28110157c39435f |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33452d79081909bf6955289e0dece |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334f75e708190aed8b388c9ea55d2 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3359ab56881908e247ba54c7dd6c7 |
completed | March 12, 2026, 9:52 p.m. |
Created at: March 8, 2026, 3:14 p.m.