Triple

T1807751
Position Surface form Disambiguated ID Type / Status
Subject Elena Bashkirova E40258 entity
Predicate residence P75 FINISHED
Object Jerusalem E6995 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: Jerusalem | Statement: [Elena Bashkirova, residence, Jerusalem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerusalem
Context triple: [Elena Bashkirova, residence, Jerusalem]
  • A. Jerusalem chosen
    Jerusalem is an ancient and historically significant city in the Middle East that serves as a major religious and cultural center for Judaism, Christianity, and Islam.
  • B. West Jerusalem
    West Jerusalem is the predominantly Jewish, modern western sector of Jerusalem that has served as the seat of Israel’s government institutions since 1949.
  • C. Ramla
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • D. Beit She'an
    Beit She'an is an ancient city in northeastern Israel known for its extensive archaeological remains, including a well-preserved Roman-Byzantine ruins complex.
  • E. Tel Aviv
    Tel Aviv is a major Israeli coastal city known for its vibrant nightlife, high-tech industry, and modernist architecture.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6599f35c8190aefd20773365fdcf completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3b9a2f4819082ca2e9f838f7b9e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:32 p.m.