Triple

T17054143
Position Surface form Disambiguated ID Type / Status
Subject Abu Hureyra E413775 entity
Predicate submergedBy P42186 FINISHED
Object Lake Assad E413979 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: Lake Assad | Statement: [Abu Hureyra, submergedBy, Lake Assad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Assad
Context triple: [Abu Hureyra, submergedBy, Lake Assad]
  • A. Lake Assad chosen
    Lake Assad is Syria’s largest artificial lake, created on the Euphrates River to provide water storage, irrigation, and hydroelectric power.
  • B. Lake Qadisiyah
    Lake Qadisiyah is a large artificial reservoir in western Iraq formed on the Euphrates River, primarily used for hydroelectric power generation, irrigation, and water storage.
  • C. al-Qusayr Lake
    al-Qusayr Lake is a body of water located within Syria’s Aleppo Governorate, known as a local inland lake in the country’s north.
  • D. Lake Qaraoun
    Lake Qaraoun is Lebanon’s largest artificial lake, created by damming the Litani River and serving as a key source of irrigation, hydropower, and water storage in the Beqaa Valley.
  • E. Al Habbaniyah Lake
    Al Habbaniyah Lake is a large artificial reservoir in central Iraq, known for its recreational facilities and role in irrigation and flood control.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa54c808190a6e8333c413f4e26 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012343eca0819086a07511c5d22878 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.