Triple

T14782836
Position Surface form Disambiguated ID Type / Status
Subject Nahariya railway station E347433 entity
Predicate locatedIn P40 FINISHED
Object Nahariya E148017 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: Nahariya | Statement: [Nahariya railway station, locatedIn, Nahariya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nahariya
Context triple: [Nahariya railway station, locatedIn, Nahariya]
  • A. Nahariya chosen
    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.
  • 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. Kfar Tavor
    Kfar Tavor is a small agricultural town in northern Israel, known for its historic Jewish settlement roots and its location at the foot of Mount Tabor in the Lower Galilee.
  • D. Kissufim
    Kissufim is a small kibbutz in southern Israel near the Gaza border, known for its agricultural community and strategic location.
  • E. Umm al-Fahm
    Umm al-Fahm is a major Arab city in northern Israel known for its predominantly Palestinian population and significant cultural and political influence.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9de3f48190b7706925e2947cf5 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa11f77788190866e0820d33af588 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 1:31 a.m.