Triple

T18899957
Position Surface form Disambiguated ID Type / Status
Subject Ramat Gan light rail and bus lines E462311 entity
Predicate connects P390 FINISHED
Object Bnei Brak 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: Bnei Brak | Statement: [Ramat Gan light rail and bus lines, connects, Bnei Brak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bnei Brak
Context triple: [Ramat Gan light rail and bus lines, connects, Bnei Brak]
  • A. Bnei Brak chosen
    Bnei Brak is a densely populated city in Israel known as a major center of ultra-Orthodox Jewish life and culture.
  • B. Zikhron Ya’akov
    Zikhron Ya’akov is a historic town in northern Israel known for its early Zionist agricultural settlement, wineries, and scenic location overlooking the Mediterranean.
  • C. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • D. Gittin
    Gittin is a tractate of the Mishnah and Talmud that primarily deals with the laws and procedures of Jewish divorce documents (gets).
  • E. Kiryat Bialik
    Kiryat Bialik is a coastal city in northern Israel that forms part of the Haifa metropolitan area.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c5289ba48190a6825c4db2e5e48d completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.