Triple

T16764464
Position Surface form Disambiguated ID Type / Status
Subject Prague 1 E407427 entity
Predicate contains P35 FINISHED
Object Josefov E970564 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: Josefov | Statement: [Prague 1, contains, Josefov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josefov
Context triple: [Prague 1, contains, Josefov]
  • A. Josefov
    Josefov is a historic fortress district in the Czech Republic, known for its well-preserved 18th-century military fortifications and urban layout.
  • B. Josefov chosen
    Josefov is Prague’s historic Jewish quarter, known for its preserved synagogues, cemetery, and rich Jewish cultural heritage.
  • C. Yehud
    Yehud is a city in central Israel, historically significant as a Jewish settlement area and now part of the Yehud-Monosson municipality near Tel Aviv.
  • D. Yavneh
    Yavneh is an ancient Jewish center of learning in the Land of Israel that became a key hub for rabbinic scholarship and religious reorganization after the destruction of the Second Temple.
  • E. Yehud Medinata
    Yehud Medinata was a Persian-period province in the region of Judah, centered around Jerusalem, that succeeded the ancient Kingdom of Judah after the Babylonian exile.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abef492c8190880d3b39c3641eed completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52ff9d481909675c7e1f81191dc completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.