Triple

T8656018
Position Surface form Disambiguated ID Type / Status
Subject Englewood, Ohio E205416 entity
Predicate previousName P65 FINISHED
Object Junction
Junction was the former name of the city now known as Englewood in Montgomery County, Ohio.
E748695 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: Junction | Statement: [Englewood, Ohio, previousName, Junction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junction
Context triple: [Englewood, Ohio, previousName, Junction]
  • A. Junction 3
    Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
  • B. Junction 7
    Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
  • C. Junction 7
    Junction 7 is a numbered interchange on the M20 motorway in England, providing access between the motorway and the surrounding local road network.
  • D. Junction 6
    Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
  • E. Junction 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • 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: Junction
Triple: [Englewood, Ohio, previousName, Junction]
Generated description
Junction was the former name of the city now known as Englewood in Montgomery County, Ohio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Junction
Target entity description: Junction was the former name of the city now known as Englewood in Montgomery County, Ohio.
  • A. Junction 3
    Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
  • B. Junction 7
    Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
  • C. Junction 7
    Junction 7 is a numbered interchange on the M20 motorway in England, providing access between the motorway and the surrounding local road network.
  • D. Junction 6
    Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
  • E. Junction 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4844586081909b687e278496eefa completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecce40c248190b4f2b21a1ecde80b completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8c4bdc8190988990c675f50f86 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf3a0e78819082cc7c43eceae309 completed April 2, 2026, 8:19 p.m.
Created at: March 30, 2026, 6:29 p.m.