Triple
T29727504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordkurve |
E752222
|
entity |
| Predicate | belongsToStadium |
P169205
|
FINISHED |
| Object | Max-Morlock-Stadion |
—
|
NE NERFINISHED |
How this triple was built (2 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: Max-Morlock-Stadion | Statement: [Nordkurve, belongsToStadium, Max-Morlock-Stadion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToStadium Context triple: [Nordkurve, belongsToStadium, Max-Morlock-Stadion]
-
A.
containsStadium
Indicates that a location or area includes a stadium within its boundaries or premises.
-
B.
associatedWithStadiumLocation
Indicates a relationship where an entity is connected or linked to the location of a specific stadium.
-
C.
associatedStadiums
Indicates that there is a relationship linking an entity to one or more stadiums with which it is connected or affiliated.
-
D.
stadiumFor
Indicates that a particular stadium serves as the designated home or primary venue for a specific team, event, or organization.
-
E.
locatedInStadiumOf
chosen
Indicates that something is situated within the stadium that belongs to or is used by a particular entity.
- F. None of above.
Provenance (3 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_69f0d62a36a88190bf860f00da433ff8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: April 28, 2026, 7:40 p.m.