Triple

T3261628
Position Surface form Disambiguated ID Type / Status
Subject Lota E68423 entity
Predicate hasTransportConnection P845 FINISHED
Object Route 160
Route 160 is a regional transportation route that serves as a key roadway connection for the city of Lota in Chile’s Biobío Region.
 E342883 NE FINISHED

How this triple was built (4 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: Route 160 | Statement: [Lota, hasTransportConnection, Route 160]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 160
Context triple: [Lota, hasTransportConnection, Route 160]
  • A. Route 146
    Route 146 is a major north–south highway in Massachusetts and Rhode Island that connects the Worcester area to the Providence metropolitan region.
  • B. Route 100
    Route 100 is the former designation of the Norristown High Speed Line, an interurban rapid transit route in the Philadelphia metropolitan area.
  • C. Route 16
    Route 16 is a major east–west state highway in Massachusetts that connects several cities and towns in the Greater Boston area.
  • D. Route 126
    Route 126 is a state highway in Massachusetts that runs through several communities, including the city of Framingham.
  • E. Route 132
    Route 132 is a major commercial roadway in Hyannis, Massachusetts, serving as a key access route to shopping centers and businesses on Cape Cod.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Route 160
Triple: [Lota, hasTransportConnection, Route 160]
Generated description
Route 160 is a regional transportation route that serves as a key roadway connection for the city of Lota in Chile’s Biobío Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Route 160
Target entity description: Route 160 is a regional transportation route that serves as a key roadway connection for the city of Lota in Chile’s Biobío Region.
  • A. Route 146
    Route 146 is a major north–south highway in Massachusetts and Rhode Island that connects the Worcester area to the Providence metropolitan region.
  • B. Route 100
    Route 100 is the former designation of the Norristown High Speed Line, an interurban rapid transit route in the Philadelphia metropolitan area.
  • C. Route 16
    Route 16 is a major east–west state highway in Massachusetts that connects several cities and towns in the Greater Boston area.
  • D. Route 126
    Route 126 is a state highway in Massachusetts that runs through several communities, including the city of Framingham.
  • E. Route 132
    Route 132 is a major commercial roadway in Hyannis, Massachusetts, serving as a key access route to shopping centers and businesses on Cape Cod.
  • F. None of above. chosen

Provenance (5 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa7fea08190b089b6174fd7cd32 completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ede248c8190b5a1f9403787361c completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b2966f189c8190bb56daea54be8a93 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c1c65c81909e661c6beaaec9af completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.