Triple

T20293680
Position Surface form Disambiguated ID Type / Status
Subject Ubari Lakes E510090 entity
Predicate nearEthnicGroup P139568 FINISHED
Object Tebu 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: Tebu | Statement: [Ubari Lakes, nearEthnicGroup, Tebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tebu
Context triple: [Ubari Lakes, nearEthnicGroup, Tebu]
  • A. Tebu chosen
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • B. Tebuange
    Tebuange is a small village settlement located on the island of Nonouti in Kiribati, likely characterized by a traditional Pacific island community and subsistence lifestyle.
  • C. Tebrau
    Tebrau is a suburban township and rapidly developing residential and commercial area located within Johor Bahru in the Malaysian state of Johor.
  • D. Nabo
    Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
  • E. Sego
    Sego is the NATO reporting name for the Soviet SS-11, an early cold-war era ground-launched anti-tank guided missile system.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67704262c8190bc903b733d849881 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:13 a.m.