Triple

T4957680
Position Surface form Disambiguated ID Type / Status
Subject Colorado State Highway 120 E111325 entity
Predicate abbreviation P43 FINISHED
Object CO 120
CO 120 is a short state highway in Colorado that connects rural areas near Penrose to key regional routes in Fremont County.
 E483045 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: CO 120 | Statement: [Colorado State Highway 120, abbreviation, CO 120]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CO 120
Context triple: [Colorado State Highway 120, abbreviation, CO 120]
  • A. Co2
    Co2 is one of the three sporadic Conway groups, a finite simple group arising from the symmetries of the Leech lattice in group theory.
  • B. CL-CO
    CL-CO is the ISO 3166-2 subdivision code assigned to the commune of Salamanca in Chile’s Coquimbo Region.
  • C. COE
    COE is the Spanish National Olympic Committee responsible for organizing Spain’s participation in the Olympic Games and promoting the Olympic movement within the country.
  • D. Co1
    Co1 is the largest of the three sporadic Conway groups, a finite simple group arising as a symmetry group related to the Leech lattice in 24-dimensional space.
  • E. COU
    COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
  • 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: CO 120
Triple: [Colorado State Highway 120, abbreviation, CO 120]
Generated description
CO 120 is a short state highway in Colorado that connects rural areas near Penrose to key regional routes in Fremont County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CO 120
Target entity description: CO 120 is a short state highway in Colorado that connects rural areas near Penrose to key regional routes in Fremont County.
  • A. Co2
    Co2 is one of the three sporadic Conway groups, a finite simple group arising from the symmetries of the Leech lattice in group theory.
  • B. CL-CO
    CL-CO is the ISO 3166-2 subdivision code assigned to the commune of Salamanca in Chile’s Coquimbo Region.
  • C. COE
    COE is the Spanish National Olympic Committee responsible for organizing Spain’s participation in the Olympic Games and promoting the Olympic movement within the country.
  • D. Co1
    Co1 is the largest of the three sporadic Conway groups, a finite simple group arising as a symmetry group related to the Leech lattice in 24-dimensional space.
  • E. COU
    COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d834c0819087f3faafdc9b4228 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81e144a08190b66bf07e09b6ff55 completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be83b10e048190889289ac2ca9f07f completed March 21, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69be843e2e50819099b2b73498c7c16e completed March 21, 2026, 11:42 a.m.
Created at: March 20, 2026, 1:32 p.m.