Triple

T6939531
Position Surface form Disambiguated ID Type / Status
Subject Uruca E160637 entity
Predicate roadJunctionOf P6234 FINISHED
Object Route 147
Route 147 is a numbered roadway that serves as a key connector passing through the Uruca area.
 E632347 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 147 | Statement: [Uruca, roadJunctionOf, Route 147]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 147
Context triple: [Uruca, roadJunctionOf, Route 147]
  • 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 140
    Route 140 is a state highway in Massachusetts that runs generally north–south, connecting several cities and towns between New Bedford and the Franklin area.
  • C. Route 107
    Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
  • D. Route 107
    Route 107 is a state highway in southwestern Connecticut that serves as a local connector through towns such as Redding and Georgetown.
  • E. Route 136
    Route 136 is a state highway in southwestern Connecticut that runs through coastal communities and connects several local and regional routes.
  • 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 147
Triple: [Uruca, roadJunctionOf, Route 147]
Generated description
Route 147 is a numbered roadway that serves as a key connector passing through the Uruca area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Route 147
Target entity description: Route 147 is a numbered roadway that serves as a key connector passing through the Uruca area.
  • 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 140
    Route 140 is a state highway in Massachusetts that runs generally north–south, connecting several cities and towns between New Bedford and the Franklin area.
  • C. Route 107
    Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
  • D. Route 107
    Route 107 is a state highway in southwestern Connecticut that serves as a local connector through towns such as Redding and Georgetown.
  • E. Route 136
    Route 136 is a state highway in southwestern Connecticut that runs through coastal communities and connects several local and regional routes.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da641ce08190a133c9ba4977755d completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76185c1d08190938d9065eb323100 completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c762a6eb248190b5a51ca95c331a55 completed March 28, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_69c76346f0248190b8490d7c3c63bfeb completed March 28, 2026, 5:12 a.m.
Created at: March 27, 2026, 2:28 p.m.