Triple

T14366337
Position Surface form Disambiguated ID Type / Status
Subject Kiryat Bialik E356243 entity
Predicate adjacentTo P224 FINISHED
Object Kiryat Motzkin E359667 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: Kiryat Motzkin | Statement: [Kiryat Bialik, adjacentTo, Kiryat Motzkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiryat Motzkin
Context triple: [Kiryat Bialik, adjacentTo, Kiryat Motzkin]
  • A. Kiryat Motzkin chosen
    Kiryat Motzkin is a coastal city in northern Israel, part of the Haifa metropolitan area and known for its residential neighborhoods and urban parks.
  • B. Kiryat Gat
    Kiryat Gat is a city in south-central Israel known for its industrial zones, high-tech facilities, and location between the coastal plain and the Negev desert.
  • C. Kiryat Moshe
    Kiryat Moshe is a residential neighborhood in the central Israeli city of Rehovot.
  • D. Kiryat Moshe
    Kiryat Moshe is a residential neighborhood in western Jerusalem, known for its religious communities and proximity to major educational and governmental institutions.
  • E. Kiryat Haim
    Kiryat Haim is a coastal neighborhood in the northern Israeli city of Haifa, known for its beachfront, residential character, and proximity to the Haifa Bay industrial and port areas.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff36455f788190a63507ecda42b04c completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 1:15 a.m.