Triple

T13467759
Position Surface form Disambiguated ID Type / Status
Subject Ancient Megara E311546 entity
Predicate foundedColonies P17901 FINISHED
Object Selinus E314814 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: Selinus | Statement: [Ancient Megara, foundedColonies, Selinus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selinus
Context triple: [Ancient Megara, foundedColonies, Selinus]
  • A. Selinus chosen
    Selinus was an ancient Greek city on the southwest coast of Sicily, notable for its grand Doric temples and strategic position in the western Greek colonial world.
  • B. Tosali
    Tosali was an ancient city that served as a major political and administrative center of the Kalinga kingdom in eastern India.
  • C. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • D. Ager Norbanus
    Ager Norbanus was a rural district of ancient Roman territory in Latium associated with the town of Norba and its surrounding lands.
  • E. Argiletum
    Argiletum was an ancient street in Rome that connected the Roman Forum to the Subura district and later became partly occupied by the Forum of Nerva.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf101a1081909f2aba6da47baacc completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74629f1408190b54194fe794be39a completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.