Triple

T13432515
Position Surface form Disambiguated ID Type / Status
Subject Mashhad railway station E313646 entity
Predicate connectsTo P845 FINISHED
Object Sarakhs E338359 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: Sarakhs | Statement: [Mashhad railway station, connectsTo, Sarakhs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarakhs
Context triple: [Mashhad railway station, connectsTo, Sarakhs]
  • A. Sarakhs chosen
    Sarakhs is a historic border city in northeastern Iran, known for its strategic location along ancient trade routes between Iran and Central Asia.
  • B. Tushpa
    Tushpa was the ancient fortified city on the eastern shore of Lake Van that served as the political and cultural center of the Kingdom of Urartu in the early first millennium BCE.
  • C. Afrasiab
    Afrasiab is a legendary Turanian king and formidable adversary of Iran in the Persian epic Shahnameh.
  • D. Sarkel
    Sarkel was a major fortified city and strategic stronghold of the Khazar Khaganate, controlling key trade routes along the lower Don River in medieval Eastern Europe.
  • E. Kharas
    Kharas is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398da07081908c3eca6fc4213930 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.