Triple

T16754096
Position Surface form Disambiguated ID Type / Status
Subject Ancient Iran E407163 entity
Predicate hasPart P35 FINISHED
Object Gedrosia E1221806 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: Gedrosia | Statement: [Ancient Iran, hasPart, Gedrosia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gedrosia
Context triple: [Ancient Iran, hasPart, Gedrosia]
  • A. Gedrosia chosen
    Gedrosia was an ancient, arid coastal region in the eastern part of the Persian Empire, roughly corresponding to modern-day Makran along the coasts of Iran and Pakistan.
  • B. Arachosia
    Arachosia was an ancient historical region in south-central Asia, roughly corresponding to parts of modern southern Afghanistan and Pakistan, known as a crossroads of Persian, Greek, and later empires.
  • C. Deesa
    Deesa is a town in the Banaskantha district of Gujarat, India, known historically as a former princely state and for its nearby military air base.
  • D. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa28fd3c8190972e2e69ea7dece0 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaf588bc8190adcc512eaa8d91e8 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:21 a.m.