Triple

T35055150
Position Surface form Disambiguated ID Type / Status
Subject Ivano-Frankivsk Raion E1011440 entity
Predicate previouslyIncludedTerritoriesOf P131869 FINISHED
Object Bohorodchany Raion
Bohorodchany Raion was a former administrative district in Ivano-Frankivsk Oblast in western Ukraine, centered around the urban-type settlement of Bohorodchany.
 E2165980 NE FINISHED

How this triple was built (3 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: Bohorodchany Raion | Statement: [Ivano-Frankivsk Raion, previouslyIncludedTerritoriesOf, Bohorodchany Raion]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bohorodchany Raion
Triple: [Ivano-Frankivsk Raion, previouslyIncludedTerritoriesOf, Bohorodchany Raion]
Generated description
Bohorodchany Raion was a former administrative district in Ivano-Frankivsk Oblast in western Ukraine, centered around the urban-type settlement of Bohorodchany.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: previouslyIncludedTerritoriesOf
Context triple: [Ivano-Frankivsk Raion, previouslyIncludedTerritoriesOf, Bohorodchany Raion]
  • A. territoryOriginallyIncluded chosen
    Indicates that an earlier or original territorial boundary encompassed the referenced area or entity.
  • B. includedTerritoryType
    Indicates that one territory type is contained within, or forms part of, another territory type.
  • C. territoryIncluded
    Indicates that one territory is geographically or administratively contained within another territory.
  • D. sometimesIncludesTerritory
    Indicates that one entity occasionally, but not consistently, encompasses or contains the territory of another entity.
  • E. expandedTerritoryOf
    Indicates that one entity has increased or extended the geographic or jurisdictional area belonging to another entity.
  • F. None of above.

Provenance (6 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_69f76dd09c308190a523454853ce842b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff5803c02c81908b63067119f5e684 completed May 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cb72d5c081909e1474ce8977616d completed June 22, 2026, 5:43 a.m.
NEDg Description generation batch_6a38cbf4f8b8819093e023e34c71585b completed June 22, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_6a38cc8927108190977d3dbf2d91f6d2 completed June 22, 2026, 5:47 a.m.
PD Predicate disambiguation batch_69ff576d8b308190b49a1e072a0ae661 completed May 9, 2026, 3:49 p.m.
Created at: May 3, 2026, 4:01 p.m.