Triple

T18657887
Position Surface form Disambiguated ID Type / Status
Subject Highway 4 (Israel) E456113 entity
Predicate passesThrough P225 FINISHED
Object Yavne NE NERFINISHED

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: Yavne | Statement: [Highway 4 (Israel), passesThrough, Yavne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yavne
Context triple: [Highway 4 (Israel), passesThrough, Yavne]
  • A. Yavneh chosen
    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.
  • B. 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.
  • C. الناصرة
    الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
  • D. Banias
    Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
  • E. Banias
    Banias are a traditional Indian merchant and trading community historically associated with commerce, moneylending, and often with Vaishya caste status.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e550864b0481909e59fbcc79fda839 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.