Triple

T10083690
Position Surface form Disambiguated ID Type / Status
Subject Halkalı E213965 entity
Predicate connectedTo P37 FINISHED
Object D-100 highway E663163 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: D-100 highway | Statement: [Halkalı, connectedTo, D-100 highway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D-100 highway
Context triple: [Halkalı, connectedTo, D-100 highway]
  • A. D100 highway chosen
    The D100 highway is a major east–west state road in Turkey that runs through key cities including İzmit, serving as an important intercity and regional transport route.
  • B. C-16 highway
    The C-16 highway is a major road in Catalonia, Spain, that forms part of the E-9 corridor and connects inland cities such as Manresa with Barcelona and the Pyrenees.
  • C. D605 highway
    The D605 highway is a major Turkish road that runs through Kocaeli Province, connecting local towns and facilitating regional transportation.
  • D. M10 highway
    The M10 highway is a major Russian federal road that connects Moscow and Saint Petersburg, passing through cities such as Tver.
  • E. M-7 highway
    The M-7 highway is a major federal road in Russia that connects Moscow with key cities in the Volga region and further toward the Ural area, serving as an important eastward transport corridor.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5424a26688190a49c3920d0edb546 completed April 19, 2026, 8:59 p.m.
Created at: March 30, 2026, 9 p.m.