Triple

T3513652
Position Surface form Disambiguated ID Type / Status
Subject Irgun E74254 entity
Predicate abbreviation P43 FINISHED
Object Etzel E366393 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: Etzel | Statement: [Irgun, abbreviation, Etzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etzel
Context triple: [Irgun, abbreviation, Etzel]
  • A. Etzel chosen
    Etzel was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • D. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • E. Schwartzerdt
    Schwartzerdt is the original German surname of the 16th-century Protestant reformer and humanist Philip Melanchthon, which he later Hellenized into the name by which he is best known.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc2d0bf481909d1f19a87d147b63 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bc4e9988190921d193e84e53bf1 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.