Triple

T15090997
Position Surface form Disambiguated ID Type / Status
Subject Nebraska Highway 109 E360413 entity
Predicate abbreviation P43 FINISHED
Object N-109
N-109 is a state highway in Nebraska that serves as a regional connector route within the state's road network.
E1136539 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: N-109 | Statement: [Nebraska Highway 109, abbreviation, N-109]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N-109
Context triple: [Nebraska Highway 109, abbreviation, N-109]
  • A. N-10
    N-10 is a major coastal highway in Pakistan that runs along the Makran coast, connecting key towns and ports in the country’s southwest.
  • B. N10
    N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
  • C. NE10
    NE10 is the commonly used abbreviation for the Northeast-10 Conference, an NCAA Division II collegiate athletic conference in the northeastern United States.
  • D. N104
    N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
  • E. N-90
    N-90 is a national highway in Pakistan that serves as a key route connecting parts of the Khyber Pakhtunkhwa region to the broader national road network.
  • 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: N-109
Triple: [Nebraska Highway 109, abbreviation, N-109]
Generated description
N-109 is a state highway in Nebraska that serves as a regional connector route within the state's road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N-109
Target entity description: N-109 is a state highway in Nebraska that serves as a regional connector route within the state's road network.
  • A. N-10
    N-10 is a major coastal highway in Pakistan that runs along the Makran coast, connecting key towns and ports in the country’s southwest.
  • B. N10
    N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
  • C. NE10
    NE10 is the commonly used abbreviation for the Northeast-10 Conference, an NCAA Division II collegiate athletic conference in the northeastern United States.
  • D. N104
    N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
  • E. N-90
    N-90 is a national highway in Pakistan that serves as a key route connecting parts of the Khyber Pakhtunkhwa region to the broader national road network.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027925788190b955fdc6626adf7d completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1d7a0c819096b035f8ca8d0e90 completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaf8e1b508190b0b5ceb64d44fad6 completed May 9, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69feb038065c8190b60266644db64092 completed May 9, 2026, 3:55 a.m.
Created at: April 10, 2026, 3:04 a.m.