Triple

T13968850
Position Surface form Disambiguated ID Type / Status
Subject Tel Aviv–Haifa–Nahariya line E335998 entity
Predicate connectsCity P4245 FINISHED
Object Binyamina E335999 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: Binyamina | Statement: [Tel Aviv–Haifa–Nahariya line, connectsCity, Binyamina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binyamina
Context triple: [Tel Aviv–Haifa–Nahariya line, connectsCity, Binyamina]
  • A. Binyamina chosen
    Binyamina is a town in northern Israel known for its vineyards, wineries, and role as a regional transportation hub.
  • B. Yibna
    Yibna is a historic Palestinian town in the coastal plain of central Israel, known for its ancient roots and depopulation during the 1948 Arab–Israeli War.
  • C. Yishai
    Yishai is the Hebrew form of the biblical name Jesse, known as the father of King David in the Hebrew Bible.
  • D. Rehavia
    Rehavia is a historic, centrally located Jerusalem neighborhood known for its leafy streets, Bauhaus-style architecture, and mix of intellectual, political, and cultural residents.
  • E. Nechama
    Nechama is a Hebrew feminine given name commonly used in Israel and Jewish communities worldwide.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8daeac8190aadd4b3b60222482 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1da70588190a6c9a3895d92be5b completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.