Triple

T25014467
Position Surface form Disambiguated ID Type / Status
Subject Tsuyama Line E626087 entity
Predicate connectsRuralCommunities P35250 FINISHED
Object true LITERAL 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: true | Statement: [Tsuyama Line, connectsRuralCommunities, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: connectsRuralCommunities
Context triple: [Tsuyama Line, connectsRuralCommunities, true]
  • A. connectsRuralCommunitiesNear
    Indicates a relationship where something (such as infrastructure or services) links rural communities that are geographically close to one another.
  • B. connectsCommunities chosen
    Indicates a relationship in which something links or brings together separate communities, enabling interaction, communication, or shared activity between them.
  • C. connectsUrbanAndRuralAreas
    Indicates a relationship where something provides a link or facilitates interaction between urban regions and rural regions.
  • D. connectsInlandCommunitiesTo
    Indicates a relationship in which something serves as a link or conduit between inland communities and another place, system, or network.
  • E. connectsCommunity
    Indicates a relationship where an entity links or brings together members or groups within a community, fostering interaction or cohesion among them.
  • 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_69e2ff27755881908490178e83701160 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
Created at: April 18, 2026, 6:06 a.m.