Triple
T2696093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volksparkstadion |
E58513
|
entity |
| Predicate | hasStandingAreas |
P34773
|
FINISHED |
| Object | yes (for domestic matches) |
—
|
LITERAL FINISHED |
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: yes (for domestic matches) | Statement: [Volksparkstadion, hasStandingAreas, yes (for domestic matches)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandingAreas Context triple: [Volksparkstadion, hasStandingAreas, yes (for domestic matches)]
-
A.
hasStandingArea
chosen
Indicates that an entity includes or provides a designated area where people can stand.
-
B.
hasSafeStandingAreas
Indicates that designated locations within an area provide secure, stable, and protected spots where individuals can safely stand.
-
C.
hasGrassSeatingArea
Indicates that an entity includes or provides a seating area located on a grass surface.
-
D.
hasSpectatorArea
Indicates that a location or facility includes a designated area intended for spectators to observe an event or activity.
-
E.
hasRestAreas
Indicates that a route, location, or facility includes one or more designated rest areas available for use.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda3112108190a5e49c13368cf83f |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.