Triple

T23230210
Position Surface form Disambiguated ID Type / Status
Subject Highway 85 (Israel) E581129 entity
Predicate connectsCity P4245 FINISHED
Object Karmiel 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: Karmiel | Statement: [Highway 85 (Israel), connectsCity, Karmiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karmiel
Context triple: [Highway 85 (Israel), connectsCity, Karmiel]
  • A. Karmiel chosen
    Karmiel is a modern planned city in northern Israel, located in the Galilee and known for its residential neighborhoods, industrial zones, and cultural festivals.
  • B. Kiryat Shmona
    Kiryat Shmona is a northern Israeli city near the Lebanese border, known for its strategic location and frequent exposure to cross-border conflict.
  • C. Kiryat Hasharon
    Kiryat Hasharon is a residential neighborhood in the city of Netanya, Israel, known for its modern housing and family-oriented community.
  • D. Kiryat Malakhi
    Kiryat Malakhi is a small city in southern Israel, known for its diverse immigrant population and location near Ashkelon and Kiryat Gat.
  • 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 (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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f19231ef908190a791b4967916a66f completed April 29, 2026, 5:08 a.m.
Created at: April 17, 2026, 4:09 p.m.