Triple

T5515595
Position Surface form Disambiguated ID Type / Status
Subject Leibowitz E144675 entity
Predicate derivesFrom P909 FINISHED
Object Leib E373708 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: Leib | Statement: [Leibowitz, derivesFrom, Leib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leib
Context triple: [Leibowitz, derivesFrom, Leib]
  • A. Leib chosen
    Leib is a given name, often used as a Yiddish or Hebrew male first name.
  • B. Laibin
    Laibin is a prefecture-level city in south-central China known for its role as a regional transportation hub and its mix of industrial and agricultural development.
  • C. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • D. Ljabru
    Ljabru is a neighborhood in Oslo, Norway, known as the southeastern terminus of one of the city’s tram lines.
  • E. Krieblowitz
    Krieblowitz was a village in Silesia (now Krobielowice, Poland) historically notable as the estate and place of death of Prussian field marshal Gebhard Leberecht von Blücher.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5d1d188190b3a222a9ecf2a0e6 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d92e0c8190ad5552d66e370a22 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.