Triple

T11683153
Position Surface form Disambiguated ID Type / Status
Subject Guilderland E277668 entity
Predicate adjacentTo P224 FINISHED
Object Town of Bethlehem
The Town of Bethlehem is a suburban municipality in Albany County, New York, known for its residential communities and proximity to the city of Albany.
 E940714 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: Town of Bethlehem | Statement: [Guilderland, adjacentTo, Town of Bethlehem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Town of Bethlehem
Context triple: [Guilderland, adjacentTo, Town of Bethlehem]
  • A. Bethel
    Bethel is a small town in western Maine known as a gateway to the White Mountains and a center for outdoor recreation and regional history.
  • B. Bethel
    Bethel is a remote city in western Alaska that serves as a regional hub for transportation, health care, and services for many surrounding Yup’ik villages.
  • C. Bethel
    Bethel is a small residential community and neighbourhood within the city of Port Colborne in Ontario, Canada.
  • D. Bethel
    Bethel is a residential suburb and local community area on the outskirts of St Austell in Cornwall, England.
  • E. Bethel
    Bethel was an important religious and political center in ancient Israel, traditionally associated with patriarchal worship and later Israelite monarchy.
  • 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: Town of Bethlehem
Triple: [Guilderland, adjacentTo, Town of Bethlehem]
Generated description
The Town of Bethlehem is a suburban municipality in Albany County, New York, known for its residential communities and proximity to the city of Albany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Town of Bethlehem
Target entity description: The Town of Bethlehem is a suburban municipality in Albany County, New York, known for its residential communities and proximity to the city of Albany.
  • A. Bethel
    Bethel is a remote city in western Alaska that serves as a regional hub for transportation, health care, and services for many surrounding Yup’ik villages.
  • B. Bethel
    Bethel is a small town in western Maine known as a gateway to the White Mountains and a center for outdoor recreation and regional history.
  • C. Bethel
    Bethel is a small residential community and neighbourhood within the city of Port Colborne in Ontario, Canada.
  • D. Bethel
    Bethel is a residential suburb and local community area on the outskirts of St Austell in Cornwall, England.
  • E. Bethel
    Bethel was an important religious and political center in ancient Israel, traditionally associated with patriarchal worship and later Israelite monarchy.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef142269d08190a9e5cf8d6268168b completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef35527f908190b681afdae3aec319 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51ec07ec8190b5cd97cf909388f0 completed April 27, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:40 p.m.