Triple
T22683098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bjerke Travbane |
E560832
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Bjerke Racecourse
Bjerke Racecourse is a major harness racing track and event venue located in Oslo, Norway.
|
E1549420
|
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: Bjerke Racecourse | Statement: [Bjerke Travbane, alsoKnownAs, Bjerke Racecourse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjerke Racecourse Context triple: [Bjerke Travbane, alsoKnownAs, Bjerke Racecourse]
-
A.
Charlottenlund Racetrack
Charlottenlund Racetrack is a historic harness racing track in Charlottenlund, Denmark, known for hosting major trotting events and serving as a prominent venue in Danish horse racing.
-
B.
Kelso Racecourse
Kelso Racecourse is a prominent National Hunt horse racing venue located near the town of Kelso in the Scottish Borders.
-
C.
Ohi Racecourse
Ohi Racecourse is a major horse racing venue in Tokyo known for its nighttime races and events.
-
D.
Mahalaxmi Racecourse
Mahalaxmi Racecourse is a historic and prominent horse racing track and recreational open space located in South Mumbai, India.
-
E.
Meydan Racecourse
Meydan Racecourse is a premier horse racing venue in Dubai, United Arab Emirates, renowned for hosting some of the world's richest and most prestigious thoroughbred racing events.
- 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: Bjerke Racecourse Triple: [Bjerke Travbane, alsoKnownAs, Bjerke Racecourse]
Generated description
Bjerke Racecourse is a major harness racing track and event venue located in Oslo, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bjerke Racecourse Target entity description: Bjerke Racecourse is a major harness racing track and event venue located in Oslo, Norway.
-
A.
Charlottenlund Racetrack
Charlottenlund Racetrack is a historic harness racing track in Charlottenlund, Denmark, known for hosting major trotting events and serving as a prominent venue in Danish horse racing.
-
B.
Kelso Racecourse
Kelso Racecourse is a prominent National Hunt horse racing venue located near the town of Kelso in the Scottish Borders.
-
C.
Ohi Racecourse
Ohi Racecourse is a major horse racing venue in Tokyo known for its nighttime races and events.
-
D.
Mahalaxmi Racecourse
Mahalaxmi Racecourse is a historic and prominent horse racing track and recreational open space located in South Mumbai, India.
-
E.
Meydan Racecourse
Meydan Racecourse is a premier horse racing venue in Dubai, United Arab Emirates, renowned for hosting some of the world's richest and most prestigious thoroughbred racing events.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786204d88190a837a5f04e16e94c |
completed | April 29, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73f4db988190a651faf7f454c6c8 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7551043c81908323a86af4db77ce |
completed | May 18, 2026, 8:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b764c2de88190bb1024206607d107 |
completed | May 18, 2026, 8:27 p.m. |
Created at: April 17, 2026, 3:12 p.m.