Triple

T2843886
Position Surface form Disambiguated ID Type / Status
Subject New Haven County E62535 entity
Predicate containsTown P847 FINISHED
Object Bethany
Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
 E303599 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: Bethany | Statement: [New Haven County, containsTown, Bethany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bethany
Context triple: [New Haven County, containsTown, Bethany]
  • A. Bethany
    Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
  • B. Medstead
    Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
  • C. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • D. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • E. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • 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: Bethany
Triple: [New Haven County, containsTown, Bethany]
Generated description
Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bethany
Target entity description: Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
  • A. Bethany
    Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
  • B. Medstead
    Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
  • C. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • D. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • E. Kinsealy
    Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1a07508190be35fe85733ddeed completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d570388190b4ed81ace605c6c3 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe9ba068881908727c82d5eddb974 completed March 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69b00412e7448190898050f18f64ea9a completed March 10, 2026, 11:44 a.m.
Created at: March 6, 2026, 10:02 p.m.