Triple

T2647872
Position Surface form Disambiguated ID Type / Status
Subject Quay County E53825 entity
Predicate contains P35 FINISHED
Object San Jon
San Jon is a small village in eastern New Mexico known as a historic stop along the former U.S. Route 66.
 E286265 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: San Jon | Statement: [Quay County, contains, San Jon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Jon
Context triple: [Quay County, contains, San Jon]
  • A. Manresa
    Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
  • B. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • C. Ronda de Sant Pere
    Ronda de Sant Pere is a major street in central Barcelona, Spain, known for its historic architecture and civic landmarks.
  • D. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • E. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • 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: San Jon
Triple: [Quay County, contains, San Jon]
Generated description
San Jon is a small village in eastern New Mexico known as a historic stop along the former U.S. Route 66.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Jon
Target entity description: San Jon is a small village in eastern New Mexico known as a historic stop along the former U.S. Route 66.
  • A. Manresa
    Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
  • B. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • C. Ronda de Sant Pere
    Ronda de Sant Pere is a major street in central Barcelona, Spain, known for its historic architecture and civic landmarks.
  • D. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • E. Santanyí
    Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91b4b3c81908571e85a1621dfc5 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c944548190a8dbe9b81045e97b completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99fcd7348190b7e99d58ce9c363a completed March 10, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_69af9a5938b48190820f37f2e2280438 completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:53 p.m.