Triple

T36598707
Position Surface form Disambiguated ID Type / Status
Subject Osrhoene E902865 entity
Predicate annexedAsProvince P166838 FINISHED
Object Roman province of Osroene 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: Roman province of Osroene | Statement: [Osrhoene, annexedAsProvince, Roman province of Osroene]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: annexedAsProvince
Context triple: [Osrhoene, annexedAsProvince, Roman province of Osroene]
  • A. laterAnnexedTo
    Indicates that one entity was annexed by another entity at a later point in time, after its initial status or affiliation.
  • B. annexedAs chosen
    Indicates that one entity has been incorporated into and made a formal part of another entity, typically losing its prior independent status.
  • C. annexedInYear
    Indicates that one entity was formally annexed or incorporated into another in the specified calendar year.
  • D. annexedTerritory
    Indicates that one political entity has formally incorporated another territory into its own sovereign domain.
  • E. annexedDuring
    Indicates that one entity was formally incorporated into and brought under the control of another entity during a specified time period.
  • F. None of above.

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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.