Triple
T18735460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park County, Colorado |
E458150
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Como, Colorado
Como, Colorado is a small historic unincorporated community and former railroad town located in the high plains of central Colorado.
|
E1341431
|
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: Como, Colorado | Statement: [Park County, Colorado, contains, Como, Colorado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Como, Colorado Context triple: [Park County, Colorado, contains, Como, Colorado]
-
A.
Seroe Colorado
Seroe Colorado is a coastal area at the southeastern tip of Aruba known for its lighthouse, rugged shoreline, and scenic views near the town of San Nicolaas.
-
B.
Colorado
Colorado is a landlocked U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and cities like Denver and Boulder.
-
C.
Colorado
Colorado is a Barbacoan language spoken by indigenous communities in parts of Colombia and Ecuador.
-
D.
Arriba, Colorado
Arriba, Colorado is a small rural town in eastern Colorado known for its agricultural surroundings and location along Interstate 70.
-
E.
Segundo, Colorado
Segundo, Colorado is a small unincorporated community and former coal-mining town located in southern Colorado near the New Mexico border.
- 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: Como, Colorado Triple: [Park County, Colorado, contains, Como, Colorado]
Generated description
Como, Colorado is a small historic unincorporated community and former railroad town located in the high plains of central Colorado.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Como, Colorado Target entity description: Como, Colorado is a small historic unincorporated community and former railroad town located in the high plains of central Colorado.
-
A.
Seroe Colorado
Seroe Colorado is a coastal area at the southeastern tip of Aruba known for its lighthouse, rugged shoreline, and scenic views near the town of San Nicolaas.
-
B.
Colorado
Colorado is a Barbacoan language spoken by indigenous communities in parts of Colombia and Ecuador.
-
C.
Colorado
Colorado is a landlocked U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and cities like Denver and Boulder.
-
D.
Arriba, Colorado
Arriba, Colorado is a small rural town in eastern Colorado known for its agricultural surroundings and location along Interstate 70.
-
E.
Segundo, Colorado
Segundo, Colorado is a small unincorporated community and former coal-mining town located in southern Colorado near the New Mexico border.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7ae10081908bc6857d1d147eef |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d2f42d8819093fd6de6639afd06 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053e61f6148190915f8e63d0aa6ac0 |
completed | May 14, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053ea94058819090144743376cf68f |
completed | May 14, 2026, 3:16 a.m. |
Created at: April 10, 2026, 11:51 a.m.