Triple

T21214429
Position Surface form Disambiguated ID Type / Status
Subject Appalachian Regional Commission E522798 entity
Predicate hasMemberState P5029 FINISHED
Object Colorado
Colorado is a western U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and diverse economy spanning tourism, energy, and technology.
E42836 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: Colorado | Statement: [Appalachian Regional Commission, hasMemberState, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colorado
Context triple: [Appalachian Regional Commission, hasMemberState, Colorado]
  • A. Colorado
    Colorado is a landlocked U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and cities like Denver and Boulder.
  • B. Colorado
    Colorado is a Brazilian football club nickname commonly used for Sport Club Internacional, referencing the team's traditional red colors.
  • C. Colorado
    Colorado is a Barbacoan language spoken by indigenous communities in parts of Colombia and Ecuador.
  • D. Como, Colorado
    Como, Colorado is a small historic unincorporated community and former railroad town located in the high plains of central Colorado.
  • E. D. Colo.
    D. Colo. is the standard legal abbreviation for the United States District Court for the District of Colorado, a federal trial court within the Tenth Circuit.
  • 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: Colorado
Triple: [Appalachian Regional Commission, hasMemberState, Colorado]
Generated description
Colorado is a western U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and diverse economy spanning tourism, energy, and technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colorado
Target entity description: Colorado is a western U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and diverse economy spanning tourism, energy, and technology.
  • A. Colorado chosen
    Colorado is a landlocked U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and cities like Denver and Boulder.
  • B. Colorado
    Colorado is a Barbacoan language spoken by indigenous communities in parts of Colombia and Ecuador.
  • C. Colorado
    Colorado is a Brazilian football club nickname commonly used for Sport Club Internacional, referencing the team's traditional red colors.
  • D. Como, Colorado
    Como, Colorado is a small historic unincorporated community and former railroad town located in the high plains of central Colorado.
  • E. D. Colo.
    D. Colo. is the standard legal abbreviation for the United States District Court for the District of Colorado, a federal trial court within the Tenth Circuit.
  • F. None of above.

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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734727a30819089c433e4fe6f438a completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ed8bd0881909777475f8930b590 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097f61ad008190bcbf64326356b857 completed May 17, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0980a602908190a2cbcbae9b8d8bf2 completed May 17, 2026, 8:47 a.m.
Created at: April 16, 2026, 3:39 p.m.