Triple

T9460460
Position Surface form Disambiguated ID Type / Status
Subject Zaranj E228131 entity
Predicate connectedByHighway P385 FINISHED
Object Route 606
Route 606 is a highway that serves as a key transportation link to the Afghan border city of Zaranj.
 E800908 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 606 | Statement: [Zaranj, connectedByHighway, Route 606]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 606
Context triple: [Zaranj, connectedByHighway, Route 606]
  • A. Route 60
    Route 60 is a major east–west freeway in Southern California that serves as a key commuter and freight corridor through the Inland Empire and Greater Los Angeles region.
  • B. Route 64
    Route 64 is a Chilean roadway that serves as a key regional connector in the Valparaíso area, linking the inland city of Quilpué with surrounding localities and major routes.
  • C. Route 62
    Route 62 is a regional roadway that serves as a key connector through parts of Massachusetts, including the area near West Concord.
  • D. Route 6A
    Route 6A is a historic scenic highway on Cape Cod in Massachusetts, known for its charming villages, coastal views, and classic New England character.
  • E. Route 59
    Route 59 is a state highway in Connecticut that serves as a regional connector through several towns in the southwestern part of the state.
  • 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 606
Triple: [Zaranj, connectedByHighway, Route 606]
Generated description
Route 606 is a highway that serves as a key transportation link to the Afghan border city of Zaranj.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Route 606
Target entity description: Route 606 is a highway that serves as a key transportation link to the Afghan border city of Zaranj.
  • A. Route 60
    Route 60 is a major east–west freeway in Southern California that serves as a key commuter and freight corridor through the Inland Empire and Greater Los Angeles region.
  • B. Route 64
    Route 64 is a Chilean roadway that serves as a key regional connector in the Valparaíso area, linking the inland city of Quilpué with surrounding localities and major routes.
  • C. Route 62
    Route 62 is a regional roadway that serves as a key connector through parts of Massachusetts, including the area near West Concord.
  • D. Route 6A
    Route 6A is a historic scenic highway on Cape Cod in Massachusetts, known for its charming villages, coastal views, and classic New England character.
  • E. Route 59
    Route 59 is a state highway in Connecticut that serves as a regional connector through several towns in the southwestern part of the state.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcaf610819092bcd3b871665aa5 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1229ec9448190bac9b7a38e030833 completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d1245db2e48190a56a797a681316d9 completed April 4, 2026, 2:46 p.m.
NED2 Entity disambiguation (via description) batch_69d124c2a48c819098a24dd2aac734e1 completed April 4, 2026, 2:48 p.m.
Created at: March 30, 2026, 7:52 p.m.