Triple

T20556309
Position Surface form Disambiguated ID Type / Status
Subject Grünwalder Stadion E504728 entity
Predicate hasStand P6313 FINISHED
Object Ostkurve
Ostkurve is the eastern terrace stand of Munich’s historic Grünwalder Stadion, known for housing some of the most passionate home supporters.
E1437521 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: Ostkurve | Statement: [Grünwalder Stadion, hasStand, Ostkurve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostkurve
Context triple: [Grünwalder Stadion, hasStand, Ostkurve]
  • A. Nordkurve
    Nordkurve is the traditional north stand of the Max-Morlock-Stadion in Nuremberg, known as the main gathering area for the home club’s most passionate supporters.
  • B. Longva
    Longva is a small village in Norway’s Møre og Romsdal county, situated within the municipality of Haram on the island-dotted western coast.
  • C. Ostönnen
    Ostönnen is a village and district of the town of Soest in North Rhine-Westphalia, Germany.
  • D. Snogebæk
    Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
  • E. Oltedal
    Oltedal is a small village in Rogaland county, Norway, known for its scenic surroundings and role as a local residential and industrial community within Gjesdal municipality.
  • 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: Ostkurve
Triple: [Grünwalder Stadion, hasStand, Ostkurve]
Generated description
Ostkurve is the eastern terrace stand of Munich’s historic Grünwalder Stadion, known for housing some of the most passionate home supporters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ostkurve
Target entity description: Ostkurve is the eastern terrace stand of Munich’s historic Grünwalder Stadion, known for housing some of the most passionate home supporters.
  • A. Nordkurve
    Nordkurve is the traditional north stand of the Max-Morlock-Stadion in Nuremberg, known as the main gathering area for the home club’s most passionate supporters.
  • B. Longva
    Longva is a small village in Norway’s Møre og Romsdal county, situated within the municipality of Haram on the island-dotted western coast.
  • C. Ostönnen
    Ostönnen is a village and district of the town of Soest in North Rhine-Westphalia, Germany.
  • D. Snogebæk
    Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
  • E. Oltedal
    Oltedal is a small village in Rogaland county, Norway, known for its scenic surroundings and role as a local residential and industrial community within Gjesdal municipality.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5de9c008190b8620628fb285e90 completed April 20, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a576d990819099ac2858ea7df968 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a68c08dc8190a09854800df82686 completed May 16, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_6a08a7331cc88190a9ed6056e5743e69 completed May 16, 2026, 5:19 p.m.
Created at: April 16, 2026, 11:38 a.m.