Triple

T13690268
Position Surface form Disambiguated ID Type / Status
Subject Kishon River E328241 entity
Predicate passesNear P416 FINISHED
Object Migdal HaEmek E143442 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: Migdal HaEmek | Statement: [Kishon River, passesNear, Migdal HaEmek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Migdal HaEmek
Context triple: [Kishon River, passesNear, Migdal HaEmek]
  • A. Migdal HaEmek chosen
    Migdal HaEmek is a city in northern Israel known for its development-town origins and location in the Jezreel Valley.
  • B. Kiryat Malakhi
    Kiryat Malakhi is a small city in southern Israel, known for its diverse immigrant population and location near Ashkelon and Kiryat Gat.
  • C. Kfar Shmaryahu
    Kfar Shmaryahu is an affluent suburban village in central Israel known for its high standard of living and proximity to Tel Aviv.
  • D. Migdal Oz
    Migdal Oz is an Israeli settlement and religious kibbutz located in the Gush Etzion region of the West Bank.
  • E. Karmiel
    Karmiel is a modern planned city in northern Israel, located in the Galilee and known for its residential neighborhoods, industrial zones, and cultural festivals.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6721c248190ac48491b5f39c8f0 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b38823881909c9df93371782b47 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 9:53 p.m.