Triple
T8870455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vejle |
E211139
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Vejle Stadium
Vejle Stadium is a multi-purpose sports arena in Vejle, Denmark, best known as the home ground of the football club Vejle Boldklub.
|
E763382
|
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: Vejle Stadium | Statement: [Vejle, hasLandmark, Vejle Stadium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vejle Stadium Context triple: [Vejle, hasLandmark, Vejle Stadium]
-
A.
Gjemselund Stadion
Gjemselund Stadion is a football stadium in Kongsvinger, Norway, primarily known as the home venue of the local professional club.
-
B.
Ullevaal Stadion
Ullevaal Stadion is Norway’s national football stadium and a major sports and events arena located in Oslo.
-
C.
Viking Stadion
Viking Stadion is a football stadium in Stavanger, Norway, primarily serving as the home ground of Viking FK.
-
D.
Nuuk Stadium
Nuuk Stadium is the main multi-purpose sports venue in Greenland’s capital, primarily used for football and other community events.
-
E.
Grefsen stadion
Grefsen stadion is a football stadium in Oslo, Norway, primarily used as the home ground of Kjelsås Fotball.
- 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: Vejle Stadium Triple: [Vejle, hasLandmark, Vejle Stadium]
Generated description
Vejle Stadium is a multi-purpose sports arena in Vejle, Denmark, best known as the home ground of the football club Vejle Boldklub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vejle Stadium Target entity description: Vejle Stadium is a multi-purpose sports arena in Vejle, Denmark, best known as the home ground of the football club Vejle Boldklub.
-
A.
Gjemselund Stadion
Gjemselund Stadion is a football stadium in Kongsvinger, Norway, primarily known as the home venue of the local professional club.
-
B.
Ullevaal Stadion
Ullevaal Stadion is Norway’s national football stadium and a major sports and events arena located in Oslo.
-
C.
Viking Stadion
Viking Stadion is a football stadium in Stavanger, Norway, primarily serving as the home ground of Viking FK.
-
D.
Nuuk Stadium
Nuuk Stadium is the main multi-purpose sports venue in Greenland’s capital, primarily used for football and other community events.
-
E.
Grefsen stadion
Grefsen stadion is a football stadium in Oslo, Norway, primarily used as the home ground of Kjelsås Fotball.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6126d2f88190979ab25772ee657c |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0ea9f5c8190b5c32fb1fefdc68b |
completed | April 3, 2026, 11:13 a.m. |
| NEDg | Description generation | batch_69cfa191d7d0819085a6b9bf7fa56067 |
completed | April 3, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa28b1d1c8190ab4a10ba8fa7259d |
completed | April 3, 2026, 11:20 a.m. |
Created at: March 30, 2026, 6:51 p.m.