Triple

T6699928
Position Surface form Disambiguated ID Type / Status
Subject Zarqa River E152851 entity
Predicate nearbyCity P350 FINISHED
Object Zarqa E88503 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: Zarqa | Statement: [Zarqa River, nearbyCity, Zarqa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zarqa
Context triple: [Zarqa River, nearbyCity, Zarqa]
  • A. Zarqa chosen
    Zarqa is a large industrial city in northeastern Jordan known for its factories, military presence, and role as a key economic hub.
  • B. Mafraq
    Mafraq is a city in northern Jordan that serves as a strategic transport hub and gateway to the Syrian border and surrounding desert regions.
  • C. Hillah
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • D. Ain al-Tamur
    Ain al-Tamur is a town in central Iraq known for its date palm oases and historical sites, located within the Karbala Governorate.
  • E. Zgharta
    Zgharta is a town in northern Lebanon known as a predominantly Maronite Christian community and a local center for the surrounding Zgharta District.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a7355081908a0acfa8d2bb4c09 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bfcb048190b682f4ec7e404b3e completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.