Triple

T41534
Position Surface form Disambiguated ID Type / Status
Subject Interstate 395 E818 entity
Predicate belongsToCorridor P37 FINISHED
Object I-95 corridor 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: I-95 corridor | Statement: [Interstate 395, belongsToCorridor, I-95 corridor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToCorridor
Context triple: [Interstate 395, belongsToCorridor, I-95 corridor]
  • A. hasEntranceOn
    Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
  • B. hasJunctionWith
    Indicates that one entity meets or intersects with another at a shared junction point.
  • C. relatedTo chosen
    Indicates a general, non-specific relationship or association exists between two entities.
  • D. annexedBy
    Indicates that one entity has been incorporated into and brought under the control or sovereignty of another entity.
  • E. connectsTo
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24db9527c8190816b6b25c88cb2f4 completed Feb. 28, 2026, 2:06 a.m.
PD Predicate disambiguation batch_69a24ab8a8908190beec6da6694dd4c9 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.