Triple

T19538916
Position Surface form Disambiguated ID Type / Status
Subject Carmel, Indiana E488842 entity
Predicate hasHistoricName P2834 FINISHED
Object Bethlehem
Bethlehem is the former name of what is now the city of Carmel in Hamilton County, Indiana.
 E1382293 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: Bethlehem | Statement: [Carmel, Indiana, hasHistoricName, Bethlehem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bethlehem
Context triple: [Carmel, Indiana, hasHistoricName, Bethlehem]
  • A. Bethlehem
    Bethlehem is an ancient town in the West Bank historically revered as the birthplace of Jesus and a major center of Christian pilgrimage.
  • B. Bethlehem
    Bethlehem is a suburban town in Albany County, New York, known for its residential communities, schools, and proximity to the city of Albany.
  • C. Bethlehem
    Bethlehem is a small rural town in western Connecticut known for its historic charm and traditional New England character.
  • D. Bethlehem
    Bethlehem is a historic city in eastern Pennsylvania known for its former steel industry, vibrant arts scene, and role as home to Lehigh University.
  • E. Bethlehem
    Bethlehem is a suburb of Tauranga in New Zealand’s Bay of Plenty region, known for its strong Māori presence and community facilities, including marae associated with local iwi.
  • 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: Bethlehem
Triple: [Carmel, Indiana, hasHistoricName, Bethlehem]
Generated description
Bethlehem is the former name of what is now the city of Carmel in Hamilton County, Indiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bethlehem
Target entity description: Bethlehem is the former name of what is now the city of Carmel in Hamilton County, Indiana.
  • A. Bethlehem
    Bethlehem is a historic city in eastern Pennsylvania known for its former steel industry, vibrant arts scene, and role as home to Lehigh University.
  • B. Bethlehem
    Bethlehem is a suburban town in Albany County, New York, known for its residential communities, schools, and proximity to the city of Albany.
  • C. Bethlehem
    Bethlehem is a small rural town in western Connecticut known for its historic charm and traditional New England character.
  • D. Bethlehem
    Bethlehem is an ancient town in the West Bank historically revered as the birthplace of Jesus and a major center of Christian pilgrimage.
  • E. Bethlehem
    Bethlehem is a town in the eastern Free State province of South Africa, known as an agricultural and commercial center in the region.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638710b8c81908335535869fc9130 completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e814c2c81909c9203461b8378b6 completed May 15, 2026, 4:49 p.m.
NEDg Description generation batch_6a074ffa3da48190badea6039822ddd6 completed May 15, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0750cfe42481909bf83cc488bcbae8 completed May 15, 2026, 4:58 p.m.
Created at: April 10, 2026, 1:41 p.m.