Triple

T29727505
Position Surface form Disambiguated ID Type / Status
Subject Nordkurve E752222 entity
Predicate fanGroupPresence P167241 FINISHED
Object ultra groups of 1. FC Nürnberg 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: ultra groups of 1. FC Nürnberg | Statement: [Nordkurve, fanGroupPresence, ultra groups of 1. FC Nürnberg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fanGroupPresence
Context triple: [Nordkurve, fanGroupPresence, ultra groups of 1. FC Nürnberg]
  • A. fanAccess
    Indicates that an entity has permission or the ability to access fan-related content, features, or areas associated with another entity.
  • B. UNPresence
    Indicates the presence, involvement, or deployment of United Nations personnel, missions, or operations in relation to an entity or location.
  • C. fanInvolved
    Indicates that a fan actively participates in or is directly involved with a particular event, activity, or interaction.
  • D. fanDestination
    Indicates that one entity is the intended target or recipient of another entity’s enthusiasm, admiration, or fandom.
  • E. globalPresence
    Indicates that an entity operates, is represented, or has a significant footprint across multiple countries or world regions.
  • 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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f673008bb081909623ca50205dc0a8 completed May 2, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
PDg Predicate description generation batch_69f6691e55cc81908d2d5c8ca4dea042 completed May 2, 2026, 9:14 p.m.
Created at: April 28, 2026, 7:40 p.m.