Triple

T21785102
Position Surface form Disambiguated ID Type / Status
Subject Heers E537814 entity
Predicate borderedBy P224 FINISHED
Object Gingelom 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: Gingelom | Statement: [Heers, borderedBy, Gingelom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gingelom
Context triple: [Heers, borderedBy, Gingelom]
  • A. Gingelom chosen
    Gingelom is a rural municipality in the Belgian province of Limburg, known for its agricultural landscape and small village communities.
  • B. Gelnon
    Gelnon is a Vorta official from the Star Trek universe who serves the Dominion as a high-ranking administrator and liaison.
  • C. Geloni
    Geloni were an ancient nomadic or semi-nomadic people of the Eurasian steppe, often associated with the Scythians and mentioned by classical Greek historians such as Herodotus.
  • D. Gling-Gló
    Gling-Gló is an Icelandic-language jazz album by singer Björk and the jazz trio Tríó Guðmundar Ingólfssonar, known for its playful reinterpretations of jazz standards and local songs.
  • E. Gingle
    Gingle is a character in Aphra Behn’s Restoration comedy play *The City Heiress*.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.