Triple

T20556307
Position Surface form Disambiguated ID Type / Status
Subject Grünwalder Stadion E504728 entity
Predicate maximumAttendanceRecord P140544 FINISHED
Object 58000 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: 58000 | Statement: [Grünwalder Stadion, maximumAttendanceRecord, 58000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumAttendanceRecord
Context triple: [Grünwalder Stadion, maximumAttendanceRecord, 58000]
  • A. maximumAttendanceMatch
    Indicates that the match or event has reached or is constrained by its maximum allowed number of attendees.
  • B. recordAttendance
    Indicates that an entity documents or logs the presence or participation of another entity at a specific event, session, or time.
  • C. peakDayAttendance
    Indicates the number of attendees present on the single highest-attendance day within a given period or event.
  • D. homeAttendanceRecord
    Indicates that an entity’s record or log of attendance is specifically associated with events or activities held at its home venue or location.
  • E. hasTypicalAttendance
    Indicates the usual or characteristic number of attendees associated with an event, venue, or activity.
  • F. None of above. chosen

Provenance (4 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.
PD Predicate disambiguation batch_69e59fe5592c8190bb6122b784496d02 completed April 20, 2026, 3:39 a.m.
PDg Predicate description generation batch_69e5a6a824748190bbe6192d73f3c613 completed April 20, 2026, 4:08 a.m.
Created at: April 16, 2026, 11:38 a.m.