Triple

T18909016
Position Surface form Disambiguated ID Type / Status
Subject FCHK E462547 entity
Predicate nickname P55 FINISHED
Object Votroci 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: Votroci | Statement: [FCHK, nickname, Votroci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Votroci
Context triple: [FCHK, nickname, Votroci]
  • A. Votroci chosen
    Votroci is the popular nickname of FC Hradec Králové, a Czech professional football club based in the city of Hradec Králové.
  • B. Váša
    Váša is a Czech diminutive form of the male given name Václav.
  • C. Vrosina
    Vrosina is a small village in northwestern Greece situated in the mountainous region of Epirus.
  • D. Vajna
    Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
  • E. Vrtojba
    Vrtojba is a settlement in western Slovenia, situated near the Italian border in the Municipality of Šempeter–Vrtojba.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52eed1881908929dace845ae008 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.