Triple

T23244939
Position Surface form Disambiguated ID Type / Status
Subject Seven Sisters region E581560 entity
Predicate containsStar P1393 FINISHED
Object Maia NE NERFINISHED

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: Maia | Statement: [Seven Sisters region, containsStar, Maia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maia
Context triple: [Seven Sisters region, containsStar, Maia]
  • A. Maia chosen
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • B. Maia
    Maia are powerful immortal spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians to the peoples of Middle-earth.
  • C. Maia
    Maia is a fantasy novel by Richard Adams set in the same world as his book "Shardik," following the adventures of a young slave girl in a richly detailed, politically complex empire.
  • D. Maia
    Maia is a Portuguese city in the Porto metropolitan area, known for its industrial base, transport links, and proximity to Porto.
  • E. Maia
    Maia is a common Portuguese surname borne by numerous notable figures in Portugal’s history and public life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193ee37c8819091f799506fa532da completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:10 p.m.