Triple

T6072507
Position Surface form Disambiguated ID Type / Status
Subject western Nebraska E135317 entity
Predicate hasCity P316 FINISHED
Object Sidney
Sidney is a small city in western Nebraska known historically as a railroad and military outpost and later as the longtime headquarters of the Cabela’s outdoor retail company.
 E195696 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: Sidney | Statement: [western Nebraska, hasCity, Sidney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sidney
Context triple: [western Nebraska, hasCity, Sidney]
  • A. Sidney
    Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
  • B. Sidney
    Sidney is the given first name of the American rapper known professionally as Desiigner.
  • C. Sidney
    Sidney is a small coastal town on Vancouver Island in British Columbia, Canada, known for its waterfront, ferry connections, and proximity to Victoria.
  • D. Sidney
    Sidney is a given name shared by various notable individuals across fields such as literature, politics, and entertainment.
  • E. Sidney
    Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
  • 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: Sidney
Triple: [western Nebraska, hasCity, Sidney]
Generated description
Sidney is a small city in western Nebraska known historically as a railroad and military outpost and later as the longtime headquarters of the Cabela’s outdoor retail company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sidney
Target entity description: Sidney is a small city in western Nebraska known historically as a railroad and military outpost and later as the longtime headquarters of the Cabela’s outdoor retail company.
  • A. Sidney
    Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
  • B. Sidney
    Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
  • C. Sidney
    Sidney is the given first name of the American rapper known professionally as Desiigner.
  • D. Sidney chosen
    Sidney is a small coastal town on Vancouver Island in British Columbia, Canada, known for its waterfront, ferry connections, and proximity to Victoria.
  • E. Sidney
    Sidney is a given name shared by various notable individuals across fields such as literature, politics, and entertainment.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05759d29481908912015e734ab943 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d3a37fc81909bbc1cdeec3205cf completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11dc2becc8190991c444357755dec completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11ed987e08190bf7065d04d9c3a0c completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:11 p.m.