Triple

T910036
Position Surface form Disambiguated ID Type / Status
Subject Yolo County E19636 entity
Predicate hasCity P316 FINISHED
Object Winters
Winters is a small agricultural and wine-producing city in Northern California known for its historic downtown and proximity to outdoor recreation areas.
 E107450 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: Winters | Statement: [Yolo County, hasCity, Winters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Winters
Context triple: [Yolo County, hasCity, Winters]
  • A. Coldest Winter
    "Coldest Winter" is a melancholic, synth-driven song by Kanye West from his emotionally charged album 808s & Heartbreak, reflecting themes of loss and heartbreak.
  • B. Frost
    Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
  • C. Winternag
    Winternag is a renowned Afrikaans poem by Eugène Marais, celebrated for its evocative depiction of winter and its pioneering role in early Afrikaans literature.
  • D. Leto
    Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
  • E. Ice March
    The Ice March was a grueling winter retreat of White Army forces during the Russian Civil War, marked by extreme hardship and heavy losses.
  • 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: Winters
Triple: [Yolo County, hasCity, Winters]
Generated description
Winters is a small agricultural and wine-producing city in Northern California known for its historic downtown and proximity to outdoor recreation areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Winters
Target entity description: Winters is a small agricultural and wine-producing city in Northern California known for its historic downtown and proximity to outdoor recreation areas.
  • A. Coldest Winter
    "Coldest Winter" is a melancholic, synth-driven song by Kanye West from his emotionally charged album 808s & Heartbreak, reflecting themes of loss and heartbreak.
  • B. Frost
    Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
  • C. Winternag
    Winternag is a renowned Afrikaans poem by Eugène Marais, celebrated for its evocative depiction of winter and its pioneering role in early Afrikaans literature.
  • D. Leto
    Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
  • E. Ice March
    The Ice March was a grueling winter retreat of White Army forces during the Russian Civil War, marked by extreme hardship and heavy losses.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2dca5208190bc9f17cd9dd6a98f completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c73d5bdc8190828cdf9f54e33a46 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c8c148708190bfdee5a55ab6d149 completed March 4, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69a7ca1e37f4819086cda13a446642e2 completed March 4, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:39 p.m.