Triple

T4884438
Position Surface form Disambiguated ID Type / Status
Subject Lebanon–Israel border E109405 entity
Predicate passesNear P416 FINISHED
Object Kiryat Shmona E146492 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 Shmona | Statement: [Lebanon–Israel border, passesNear, Kiryat Shmona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiryat Shmona
Context triple: [Lebanon–Israel border, passesNear, Kiryat Shmona]
  • A. Kiryat Shmona chosen
    Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
  • B. 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.
  • C. 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.
  • D. Kiryat Ono
    Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
  • E. Kiryat Tiv'on
    Kiryat Tiv'on is a town in northern Israel, near Haifa, known for its residential character and proximity to archaeological and natural sites.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6de253ac8190b1112da6953fa4f2 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8bbef34c8190ae4b22a94e1cf91a completed March 22, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:27 p.m.