Triple

T20612578
Position Surface form Disambiguated ID Type / Status
Subject Mirzam E506483 entity
Predicate name P16 FINISHED
Object Mirzam 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: Mirzam | Statement: [Mirzam, name, Mirzam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirzam
Context triple: [Mirzam, name, Mirzam]
  • A. Mirzam chosen
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • B. Derabish
    Derabish is a town and administrative block in the Kendrapara district of the Indian state of Odisha.
  • C. Tomarza
    Tomarza is a district and town in central Turkey known for its agricultural activities and location within Kayseri Province in Central Anatolia.
  • D. Sulem
    Sulem is a modern locality believed by some scholars to correspond to the ancient biblical town of Shunem in present-day Israel.
  • E. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad94dac8190921c7769a649c724 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.