Triple

T18203820
Position Surface form Disambiguated ID Type / Status
Subject Dubai road network E435855 entity
Predicate hasTollSystem P4065 FINISHED
Object Salik 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: Salik | Statement: [Dubai road network, hasTollSystem, Salik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salik
Context triple: [Dubai road network, hasTollSystem, Salik]
  • A. Salik chosen
    Salik is Dubai’s electronic toll collection system used on major roads and bridges to manage traffic and generate road-use revenue.
  • B. Durak
    Durak is an orc child of Thrall, the former Warchief of the Horde, in the Warcraft universe.
  • C. Sûre
    The Sûre is a river in Western Europe that flows through Belgium and Luxembourg, forming part of the border with Germany and serving as a significant tributary of the Moselle River.
  • D. Samsat
    Samsat is a small town and district in Turkey’s Adıyaman Province, located on the Euphrates River near the massive Atatürk Dam.
  • E. La Soukra
    La Soukra is a suburban town in northern Tunisia, forming part of the greater Tunis metropolitan area within Ariana Governorate.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e221bbbc819088a7559a46b7d4e7 completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.