Triple

T21330929
Position Surface form Disambiguated ID Type / Status
Subject Krittika E525894 entity
Predicate hasSyllablesForNames P143749 FINISHED
Object Ea 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: Ea | Statement: [Krittika, hasSyllablesForNames, Ea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ea
Context triple: [Krittika, hasSyllablesForNames, Ea]
  • A. Ea chosen
    Ea, also known as Enki, is a major Mesopotamian god associated with wisdom, magic, and freshwater, revered as a creator and benefactor of humanity.
  • B. Ea
    Ea is a small coastal town and municipality in the Basque Country in northern Spain, known for its picturesque estuary and traditional Basque architecture.
  • C.
    Eä is the created universe in J.R.R. Tolkien’s legendarium, encompassing all of space, time, and the world of Arda within it.
  • D. EA
    EA is the regional body responsible for delivering and overseeing education services across Northern Ireland.
  • E. EA
    EA is the abbreviation for Spain’s Air and Space Force, the branch of the Spanish Armed Forces responsible for aerial and space defense operations.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab530a1c81909bb37c2a3407d9e6 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.