Triple

T619383
Position Surface form Disambiguated ID Type / Status
Subject Gaia E14477 entity
Predicate offspring P980 FINISHED
Object Pontus E77709 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: Pontus | Statement: [Gaia, offspring, Pontus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pontus
Context triple: [Gaia, offspring, Pontus]
  • A. Pontus chosen
    Pontus is a primordial Greek sea god who personifies the sea itself in ancient mythology.
  • B. Pontus
    Pontus was an ancient historical region along the southern coast of the Black Sea in what is now northeastern Turkey, known for its Hellenistic kingdom and strategic maritime position.
  • C. Colchis
    Colchis was an ancient region on the eastern coast of the Black Sea, famed in Greek mythology as the destination of Jason and the Argonauts and the land of the Golden Fleece.
  • D. Derbion
    Derbion is a major retail and leisure shopping centre located in the city centre of Derby, England.
  • E. Illyricum
    Illyricum was a Roman province along the eastern Adriatic coast, encompassing parts of the western Balkans and serving as an important military and administrative frontier of the Roman Empire.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e25956c8190a1eed87002548658 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a566ff095081909a897d3001955514 completed March 2, 2026, 10:31 a.m.
Created at: March 1, 2026, 7:35 p.m.