Triple

T18694256
Position Surface form Disambiguated ID Type / Status
Subject Danaus E457074 entity
Predicate grandfatherOf P979 FINISHED
Object Abas 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: Abas | Statement: [Danaus, grandfatherOf, Abas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abas
Context triple: [Danaus, grandfatherOf, Abas]
  • A. Abas chosen
    Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
  • B. Abbasanta
    Abbasanta is a small town in central Sardinia, Italy, known for its proximity to important Nuragic archaeological sites and its traditional rural character.
  • C. Abisare
    Abisare was an early 2nd-millennium BCE king of the ancient Mesopotamian city-state of Larsa, known for consolidating its power in southern Babylonia.
  • D. Abasár
    Abasár is a village in northern Hungary known for its wine production and location near the Mátra Mountains.
  • E. Abis
    Abis is a standardized GSM interface that connects a base transceiver station (BTS) to its base station controller (BSC) for managing radio resources and signaling.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e66a188190801fd95f9be26042 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.