Triple

T5965732
Position Surface form Disambiguated ID Type / Status
Subject Haifa District E132745 entity
Predicate containsCity P294 FINISHED
Object Kiryat Yam E348517 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 Yam | Statement: [Haifa District, containsCity, Kiryat Yam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiryat Yam
Context triple: [Haifa District, containsCity, Kiryat Yam]
  • A. Kiryat Yam chosen
    Kiryat Yam is a coastal city in northern Israel, located in the Haifa District and known for its Mediterranean beachfront and residential character.
  • B. Kiryat Yearim
    Kiryat Yearim is a small Israeli town with a predominantly ultra-Orthodox Jewish population, located in the hills west of Jerusalem.
  • C. Kiryat Ata
    Kiryat Ata is a city in northern Israel that forms part of the Haifa metropolitan area and serves as a local commercial and residential center.
  • D. Nahariya
    Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
  • E. 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.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3ca1dc819098cde8ae5ec1d845 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62cf2edd48190b3d5f6bf27075fed completed March 27, 2026, 7:08 a.m.
Created at: March 22, 2026, 4:03 p.m.