Triple

T17031528
Position Surface form Disambiguated ID Type / Status
Subject Tapinomini E413209 entity
Predicate includesTaxon P1393 FINISHED
Object Linepithema E413210 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: Linepithema | Statement: [Tapinomini, includesTaxon, Linepithema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linepithema
Context triple: [Tapinomini, includesTaxon, Linepithema]
  • A. Linepithema chosen
    Linepithema is a genus of small, often invasive ants best known for including the highly destructive Argentine ant species.
  • B. Meredithiella
    Meredithiella is a genus of fungi in the family Ceratocystidaceae, known for species associated with plant hosts and wood.
  • C. Melinta
    Melinta is a small coastal village on the Greek island of Lesbos, known for its quiet beaches and traditional Aegean character.
  • D. Neesiella
    Neesiella is a genus of fungi classified within the order Xenospadicoidales.
  • E. Erismena
    Erismena is a 17th-century opera by Italian composer Francesco Cavalli, known as one of the earliest operas to be translated into English and performed in Restoration England.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d9e7d481909d3d5bd241bd68f1 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012336cfd481909f93c6ea7c94b49f completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.