Triple

T2771888
Position Surface form Disambiguated ID Type / Status
Subject Jordan Rift Valley E61474 entity
Predicate contains P35 FINISHED
Object Arava Valley E98948 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: Arava Valley | Statement: [Jordan Rift Valley, contains, Arava Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arava Valley
Context triple: [Jordan Rift Valley, contains, Arava Valley]
  • A. 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.
  • B. Wadi Araba chosen
    Wadi Araba is a desert valley forming part of the border between southern Israel and Jordan, known for its arid landscape and strategic location connecting the Dead Sea to the Gulf of Aqaba.
  • C. Jezreel Valley
    Jezreel Valley is a large, fertile plain in northern Israel known for its rich agriculture and strategic historical significance as a crossroads of ancient trade and military routes.
  • D. Wadi al-Joz
    Wadi al-Joz is a predominantly Palestinian neighborhood in East Jerusalem known for its light industrial zone, auto-repair workshops, and proximity to the Old City.
  • E. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6a23208190ba94c9a9f601a042 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0528304819081ad54a945acd77a completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.