Triple

T1931740
Position Surface form Disambiguated ID Type / Status
Subject Daza E40959 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Tebu E6206 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: Tebu | Statement: [Daza, relatedEthnicGroup, Tebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tebu
Context triple: [Daza, relatedEthnicGroup, Tebu]
  • A. Tebu chosen
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • B. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • C. Ziza
    Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
  • D. Matucana
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • E. Boso
    Boso is the fictional dialogue partner and student of Anselm of Canterbury in the theological treatise "Cur Deus Homo," representing the questioning layperson in discussions about the Incarnation and Atonement.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb297ec2c819092ad62d72005223d completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ef29e0819081b37664224dee91 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.