Triple

T18118757
Position Surface form Disambiguated ID Type / Status
Subject Shfela E433677 entity
Predicate hasSubregion P285 FINISHED
Object Sorek Valley 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: Sorek Valley | Statement: [Shfela, hasSubregion, Sorek Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sorek Valley
Context triple: [Shfela, hasSubregion, Sorek Valley]
  • A. Nahal Sorek
    Nahal Sorek is a major stream and valley in central Israel, historically and biblically significant as part of the Judean foothills landscape.
  • B. Valley of Sorek chosen
    The Valley of Sorek is a biblical valley in ancient Israel traditionally associated with the story of Samson and Delilah.
  • C. Ayalon Valley
    Ayalon Valley is a historically significant valley in central Israel, known as a strategic route and the site of numerous ancient battles.
  • D. Nahal Kishon
    Nahal Kishon is a major river in northern Israel that flows through the Jezreel Valley and into the Mediterranean Sea near Haifa.
  • E. Gush Dan
    Gush Dan is the densely populated metropolitan area centered around Tel Aviv on Israel’s Mediterranean coast, encompassing numerous surrounding cities and suburbs.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd843e88190abbc173dbc9b450a completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.