Triple

T10069516
Position Surface form Disambiguated ID Type / Status
Subject New York State Route 9A E213583 entity
Predicate routeNumber P1864 FINISHED
Object 9A
9A is a designation used for several highways and routes in different regions, most notably in New York State.
 E839615 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: 9A | Statement: [New York State Route 9A, routeNumber, 9A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 9A
Context triple: [New York State Route 9A, routeNumber, 9A]
  • A. A9
    A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • B. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • C. 9D
    9D is the designation for a state highway in New York known as New York State Route 9D.
  • D. A91
    A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
  • E. A96
    The A96 is a major trunk road in northeast Scotland that connects the cities of Aberdeen and Inverness, serving as a key route for regional traffic and commerce.
  • 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: 9A
Triple: [New York State Route 9A, routeNumber, 9A]
Generated description
9A is a designation used for several highways and routes in different regions, most notably in New York State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 9A
Target entity description: 9A is a designation used for several highways and routes in different regions, most notably in New York State.
  • A. A9
    A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
  • B. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • C. 9D
    9D is the designation for a state highway in New York known as New York State Route 9D.
  • D. A91
    A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
  • E. A96
    The A96 is a major trunk road in northeast Scotland that connects the cities of Aberdeen and Inverness, serving as a key route for regional traffic and commerce.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff8d9c08190bc030f1dcc696310 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aa05cc881909f59178e9c6c01ef completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29b75634c819088c8ef750b1691d2 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29f5007f88190b0330d1a8c551905 completed April 5, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:58 p.m.