Triple

T6324912
Position Surface form Disambiguated ID Type / Status
Subject Ma'alot-Tarshiha E141838 entity
Predicate locatedNear P294 FINISHED
Object Karmiel E140981 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: Karmiel | Statement: [Ma'alot-Tarshiha, locatedNear, Karmiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karmiel
Context triple: [Ma'alot-Tarshiha, locatedNear, 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 Malakhi
    Kiryat Malakhi is a small city in southern Israel, known for its diverse immigrant population and location near Ashkelon and Kiryat Gat.
  • D. 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.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e701ec81908e5eaa0660d01a4b completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cafb3d4c8190a00e66839c3eaf01 completed March 27, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:29 p.m.