Triple

T15526727
Position Surface form Disambiguated ID Type / Status
Subject Reading Power Station E369102 entity
Predicate adjacentTo P224 FINISHED
Object Yarkon River E952885 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: Yarkon River | Statement: [Reading Power Station, adjacentTo, Yarkon River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yarkon River
Context triple: [Reading Power Station, adjacentTo, Yarkon River]
  • A. Ayalon River chosen
    The Ayalon River is a short, largely channelized river in central Israel that runs through the Tel Aviv metropolitan area and plays a key role in its drainage and transportation corridor.
  • B. Sagi River
    The Sagi River is a watercourse in western India that forms part of the Luni River basin in the arid regions of Rajasthan.
  • C. Gilo River
    The Gilo River is a significant river in western Ethiopia and South Sudan, known as a tributary of the Sobat River within the Nile Basin.
  • D. Banias River
    The Banias River is a major spring-fed stream in the Golan Heights that forms one of the principal headwaters of the Jordan River.
  • E. Kishon River
    The Kishon River is a major watercourse in northern Israel that flows from the Jezreel Valley to the Mediterranean Sea near Haifa.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45549e4881908ab0769e49ba5dc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:05 a.m.