Triple

T12925505
Position Surface form Disambiguated ID Type / Status
Subject Mount Auburn, Indiana E309234 entity
Predicate name P16 FINISHED
Object Mount Auburn
Mount Auburn is a small unincorporated community located in the U.S. state of Indiana.
E1012776 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: Mount Auburn | Statement: [Mount Auburn, Indiana, name, Mount Auburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Auburn
Context triple: [Mount Auburn, Indiana, name, Mount Auburn]
  • A. Langdon Hills
    Langdon Hills is a residential area and country park known for its woodlands and elevated views, located within the Basildon district of Essex, England.
  • B. Newton Hills
    Newton Hills is a series of challenging inclines in Newton, Massachusetts, best known for forming the toughest stretch of the Boston Marathon course.
  • C. Savin Hill
    Savin Hill is a neighborhood in Dorchester, Boston, known for its residential character, historic homes, and proximity to a namesake MBTA rapid transit station.
  • D. Belmont Hill
    Belmont Hill is an elevated area overlooking the town of Belmont, Massachusetts, known for its scenic views of the local skyline and surrounding region.
  • E. Brookline Hills
    Brookline Hills is a light rail station on Boston’s MBTA Green Line D branch serving the Brookline, Massachusetts area.
  • 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: Mount Auburn
Triple: [Mount Auburn, Indiana, name, Mount Auburn]
Generated description
Mount Auburn is a small unincorporated community located in the U.S. state of Indiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mount Auburn
Target entity description: Mount Auburn is a small unincorporated community located in the U.S. state of Indiana.
  • A. Langdon Hills
    Langdon Hills is a residential area and country park known for its woodlands and elevated views, located within the Basildon district of Essex, England.
  • B. Newton Hills
    Newton Hills is a series of challenging inclines in Newton, Massachusetts, best known for forming the toughest stretch of the Boston Marathon course.
  • C. Savin Hill
    Savin Hill is a neighborhood in Dorchester, Boston, known for its residential character, historic homes, and proximity to a namesake MBTA rapid transit station.
  • D. Belmont Hill
    Belmont Hill is an elevated area overlooking the town of Belmont, Massachusetts, known for its scenic views of the local skyline and surrounding region.
  • E. Brookline Hills
    Brookline Hills is a light rail station on Boston’s MBTA Green Line D branch serving the Brookline, Massachusetts area.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971eb17c88190bf523da897172a0c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d39d4c81908fab65129f292862 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9a1ca54819085da2ca592bf5219 completed May 3, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb2602848190b9588134c71d0ef4 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 5:42 p.m.