Triple

T12439929
Position Surface form Disambiguated ID Type / Status
Subject Arava E297241 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Araba E746298 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: Araba | Statement: [Arava, hasAlternativeSpelling, Araba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Araba
Context triple: [Arava, hasAlternativeSpelling, Araba]
  • A. Araba chosen
    Araba is the Basque-language name for Álava, a historic province in northern Spain that forms part of the Basque Country.
  • B. Auta
    Auta is a small settlement on the island of Mitiaro in the Cook Islands.
  • C. Bilen
    Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • D. Qashqai
    Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
  • E. Mobil
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0ea1e48190a11cf94797290156 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.