Triple

T17476057
Position Surface form Disambiguated ID Type / Status
Subject Bessus E425540 entity
Predicate positionHeld P8 FINISHED
Object satrap of Sogdiana 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: satrap of Sogdiana | Statement: [Bessus, positionHeld, satrap of Sogdiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: satrap of Sogdiana
Context triple: [Bessus, positionHeld, satrap of Sogdiana]
  • A. Persian satraps chosen
    Persian satraps were provincial governors of the Achaemenid Persian Empire who wielded significant military and administrative power on behalf of the Great King.
  • B. Subahdar of Balkh
    The Subahdar of Balkh was the Mughal imperial governor of the strategically important Balkh province in Central Asia, responsible for its military defense, administration, and revenue collection.
  • C. Shahpur
    Shahpur is a notable town in Bihar, India, recognized as one of the main urban centers of Bhojpur district.
  • D. Achaemenid satrapy of Arabia
    The Achaemenid satrapy of Arabia was a peripheral province of the Persian Empire encompassing parts of the Arabian Peninsula, whose inhabitants were famed for providing incense, camels, and auxiliary troops to the imperial administration.
  • E. Sogdia
    Sogdia was an ancient Iranian-speaking region in Central Asia, renowned as a key hub of trade and culture along the Silk Road.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bb7050819080e3873bcc8a950c completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.