Triple

T13040765
Position Surface form Disambiguated ID Type / Status
Subject Rabbi Akiva Eiger E327184 entity
Predicate placeOfBirth P1 FINISHED
Object Eisenstadt E103768 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: Eisenstadt | Statement: [Rabbi Akiva Eiger, placeOfBirth, Eisenstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eisenstadt
Context triple: [Rabbi Akiva Eiger, placeOfBirth, Eisenstadt]
  • A. Eisenstadt chosen
    Eisenstadt is the small capital city of the Austrian state of Burgenland, known for its historic connection to composer Joseph Haydn and the Esterházy family.
  • B. Cresson
    Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
  • C. Knittelfeld
    Knittelfeld is a small town in the Austrian state of Styria known for its industrial heritage and proximity to the Red Bull Ring motor racing circuit.
  • D. Ambler
    Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
  • E. Beaver Falls
    Beaver Falls is a small industrial city in western Pennsylvania known historically for its manufacturing base and location along the Beaver River.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd5139c8190aaec6487f074f251 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:56 p.m.