Triple

T6583533
Position Surface form Disambiguated ID Type / Status
Subject Rammelsberg E157360 entity
Predicate nearRiver P350 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: [Rammelsberg, nearRiver, Abzucht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abzucht
Context triple: [Rammelsberg, nearRiver, 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. Atripé
    Atripé was an ancient Egyptian town in Upper Egypt notable as the home of the influential Coptic monastic leader Shenoute.
  • E. Ambrosia
    Ambrosia is a figure from Greek mythology, known as a daughter of the Titan Atlas.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae938184819088234aad9cc997e1 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d572c4708190844f4b1abee8ca86 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.