Triple

T13137968
Position Surface form Disambiguated ID Type / Status
Subject Abzucht E312132 entity
Predicate hasName P744 FINISHED
Object Abzucht E312132 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: Abzucht | Statement: [Abzucht, hasName, Abzucht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abzucht
Context triple: [Abzucht, hasName, Abzucht]
  • A. Abzucht chosen
    Abzucht is a small river in Lower Saxony, Germany, that flows through the Harz region and joins the Oker.
  • B. Zesgehuchten
    Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
  • C. التكاثر
    التكاثر هي سورة مكية قصيرة في القرآن الكريم تتناول انشغال الناس بالتكاثر في المال والأولاد حتى يغفلوا عن الآخرة.
  • D. الأبواء
    الأبواء قرية تاريخية في الحجاز بين مكة والمدينة تُعرف بكونها موضع وفاة آمنة بنت وهب والدة النبي محمد صلى الله عليه وسلم.
  • E. Atripé
    Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b6a4348190b9922ed255759078 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e295b3408190a7246115d3ee90e5 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:09 p.m.