Triple

T5356227
Position Surface form Disambiguated ID Type / Status
Subject Faliscan E102697 entity
Predicate hasAlternativeName P39 FINISHED
Object Falisco E403318 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: Falisco | Statement: [Faliscan, hasAlternativeName, Falisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falisco
Context triple: [Faliscan, hasAlternativeName, Falisco]
  • A. Filabusi
    Filabusi is a small mining and agricultural town in southwestern Zimbabwe that serves as a local commercial and administrative center.
  • B. Fossanova
    Fossanova is a locality in central Italy known for giving its name to the nearby medieval Cistercian monastery, Fossanova Abbey.
  • C. Sabellic chosen
    Sabellic is an alternative name for the Sabellian group of ancient Italic languages spoken in central and southern Italy before the dominance of Latin.
  • D. Forelius
    Forelius is a genus of small, heat-tolerant ants commonly found in arid and semi-arid regions of the Americas.
  • E. Grimus
    Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd862f0ea48190bec78690ab3bee51 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e2b7b08190aca4c2855ff041de completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.