Triple

T10697275
Position Surface form Disambiguated ID Type / Status
Subject Beta Capricorni E252176 entity
Predicate hasTraditionalName P17611 FINISHED
Object Dabih E880823 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: Dabih | Statement: [Beta Capricorni, hasTraditionalName, Dabih]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dabih
Context triple: [Beta Capricorni, hasTraditionalName, Dabih]
  • A. Dabih chosen
    Dabih is a bright multiple-star system in the constellation Capricornus, traditionally known by its Arabic-derived name meaning “the butcher.”
  • B. Qurbono
    Qurbono is the term used in Syriac Christianity for the Divine Liturgy, the central Eucharistic worship service.
  • C. Meatu
    Meatu is a rural district and administrative settlement in northern Tanzania’s Simiyu Region, known for its agriculture and livestock-keeping communities.
  • D. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • E. Cârnic
    Cârnic is a mountain access point and trailhead settlement commonly used as a gateway into Romania’s Retezat National Park.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd89390c8190969ab2b4a79d5818 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbad110d9481908c3c0873424ec616 completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:12 p.m.