Triple

T14911836
Position Surface form Disambiguated ID Type / Status
Subject Skillountia E371279 entity
Predicate locatedIn P40 FINISHED
Object Elis E71370 NE 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: Elis | Statement: [Skillountia, locatedIn, Elis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elis
Context triple: [Skillountia, locatedIn, Elis]
  • A. Elis chosen
    Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
  • B. Elys
    Elys is a variant form of the given name Ellis, used as an alternative spelling or stylistic variation.
  • C. Elissar
    Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
  • D. Livaneli
    Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
  • E. Meireles
    Meireles is a Brazilian surname most prominently associated with Cildo Meireles, a leading contemporary conceptual artist known for his politically charged installations and interventions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded61d75008190b6f9a1a38137836f completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72bb366481909706d511f5ae1290 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:26 a.m.