Triple

T12988125
Position Surface form Disambiguated ID Type / Status
Subject Haverhill E321821 entity
Predicate locatedNear P294 FINISHED
Object Cambridge
Cambridge is a historic English city renowned for the University of Cambridge, one of the world's leading academic institutions.
 E620421 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: Cambridge | Statement: [Haverhill, locatedNear, Cambridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cambridge
Context triple: [Haverhill, locatedNear, Cambridge]
  • A. Cambridge
    Cambridge is a town in New Zealand known for its picturesque rural setting, equestrian culture, and proximity to the Waikato River.
  • B. Cambridge
    Cambridge is a historic and academically renowned city in Massachusetts, best known as the home of Harvard University and the Massachusetts Institute of Technology (MIT).
  • C. Cambridge
    Cambridge is a prominent city in the Greater Boston area best known as the home of Harvard University and the Massachusetts Institute of Technology (MIT).
  • D. Cambridge
    Cambridge is a city in southwestern Ontario, Canada, known as part of the Regional Municipality of Waterloo and situated along the Grand River.
  • E. CAMBRIDGE
    Cambridge is a historic university city in eastern England, renowned for the University of Cambridge and its rich academic and architectural heritage.
  • 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: Cambridge
Triple: [Haverhill, locatedNear, Cambridge]
Generated description
Cambridge is a historic English city renowned for the University of Cambridge, one of the world's leading academic institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cambridge
Target entity description: Cambridge is a historic English city renowned for the University of Cambridge, one of the world's leading academic institutions.
  • A. Cambridge
    Cambridge is a town in New Zealand known for its picturesque rural setting, equestrian culture, and proximity to the Waikato River.
  • B. Cambridge
    Cambridge is a historic and academically renowned city in Massachusetts, best known as the home of Harvard University and the Massachusetts Institute of Technology (MIT).
  • C. Cambridge
    Cambridge is a prominent city in the Greater Boston area best known as the home of Harvard University and the Massachusetts Institute of Technology (MIT).
  • D. Cambridge
    Cambridge is a city in southwestern Ontario, Canada, known as part of the Regional Municipality of Waterloo and situated along the Grand River.
  • E. CAMBRIDGE chosen
    Cambridge is a historic university city in eastern England, renowned for the University of Cambridge and its rich academic and architectural heritage.
  • F. None of above.

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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e227948190a2d08db97b4e41aa completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dc31ec819093c89ff0a1ccbfa1 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6baacd7548190af5514923a0dee26 completed May 3, 2026, 3:02 a.m.
Created at: April 9, 2026, 8:41 p.m.