Triple

T11076973
Position Surface form Disambiguated ID Type / Status
Subject Mina Harker E261892 entity
Predicate shortName P43 FINISHED
Object Mina E804092 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: Mina | Statement: [Mina Harker, shortName, Mina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mina
Context triple: [Mina Harker, shortName, Mina]
  • A. Mina chosen
    Mina is a feminine given name used in various cultures, often as a short form of names like Wilhelmina, Amina, or Emina.
  • B. Mina
    Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
  • C. Mina
    Mina is a Gbe language of the Niger-Congo family spoken primarily in southern Togo and neighboring regions of West Africa.
  • D. Mina
    Mina is a coastal city and port in northern Lebanon known for its maritime activities and proximity to Tripoli.
  • E. Mahina
    Mahina is a coastal commune on the island of Tahiti in French Polynesia, known for its proximity to Point Venus and its scenic Pacific shoreline.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7999407288190a901d4a2427a2102 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8cc77988190aad54f56dbd0f8cf completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:27 p.m.