Triple

T10911992
Position Surface form Disambiguated ID Type / Status
Subject Datooga E257722 entity
Predicate hasAlternativeName P39 FINISHED
Object Datoga E876055 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: Datoga | Statement: [Datooga, hasAlternativeName, Datoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Datoga
Context triple: [Datooga, hasAlternativeName, Datoga]
  • A. Datoga chosen
    Datoga are a semi-nomadic pastoralist ethnic group of northern Tanzania, known for cattle herding, distinctive beadwork, and traditional metalworking.
  • B. Datia
    Datia is a historic town and administrative center in central India, known for its palaces and temples, located in the state of Madhya Pradesh.
  • C. Daag
    Daag is a 1973 Hindi romantic drama film, directed by Yash Chopra and starring Rajesh Khanna and Sharmila Tagore, known for its music and emotionally charged storyline.
  • D. Toda
    Toda is a Southern Dravidian language spoken by the Toda people of the Nilgiri Hills in southern India, known for its highly complex phonology and small speaker population.
  • E. Toda
    Toda is a city in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town in the Greater Tokyo Area.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770723df08190bedfdc94d998f969 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155550e388190bd441ac3a9dde435 completed April 16, 2026, 9:32 p.m.
Created at: April 8, 2026, 9:22 p.m.