Triple

T6709135
Position Surface form Disambiguated ID Type / Status
Subject Eisenach E153084 entity
Predicate twinTown P1072 FINISHED
Object Waverly
Waverly is a town that is officially twinned with Eisenach, Germany, reflecting a formal cultural and municipal partnership.
E613820 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: Waverly | Statement: [Eisenach, twinTown, Waverly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waverly
Context triple: [Eisenach, twinTown, Waverly]
  • A. Rochelle
    Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
  • B. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • C. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • D. Harkstead
    Harkstead is a small rural village and civil parish in Suffolk, England, situated near the River Stour on the Shotley Peninsula.
  • E. Laurel
    Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
  • 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: Waverly
Triple: [Eisenach, twinTown, Waverly]
Generated description
Waverly is a town that is officially twinned with Eisenach, Germany, reflecting a formal cultural and municipal partnership.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waverly
Target entity description: Waverly is a town that is officially twinned with Eisenach, Germany, reflecting a formal cultural and municipal partnership.
  • A. Rochelle
    Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
  • B. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • C. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • D. Harkstead
    Harkstead is a small rural village and civil parish in Suffolk, England, situated near the River Stour on the Shotley Peninsula.
  • E. Laurel
    Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d105b49c8190932246a727e2c513 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7008e6b308190a3d5db2bf4a469c4 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c701be78cc8190a0848ea60908d129 completed March 27, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_69c7021b27288190866aef500198479d completed March 27, 2026, 10:18 p.m.
Created at: March 27, 2026, 2:06 p.m.