Triple

T3655696
Position Surface form Disambiguated ID Type / Status
Subject Keppel E77523 entity
Predicate borderingElectorate P47257 FINISHED
Object Gregory
Gregory is an electoral district in Queensland, Australia, known for its vast rural area and strong agricultural and mining industries.
 E377691 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: Gregory | Statement: [Keppel, borderingElectorate, Gregory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gregory
Context triple: [Keppel, borderingElectorate, Gregory]
  • A. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • B. Gerard
    Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
  • C. Grigor
    Grigor is a given name, commonly used in various Eastern European and Caucasian cultures, that corresponds to the English name Gregory.
  • D. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • E. Gaven
    Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport 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: Gregory
Triple: [Keppel, borderingElectorate, Gregory]
Generated description
Gregory is an electoral district in Queensland, Australia, known for its vast rural area and strong agricultural and mining industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gregory
Target entity description: Gregory is an electoral district in Queensland, Australia, known for its vast rural area and strong agricultural and mining industries.
  • A. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • B. Gerard
    Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
  • C. Grigor
    Grigor is a given name, commonly used in various Eastern European and Caucasian cultures, that corresponds to the English name Gregory.
  • D. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • E. Gaven
    Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3baf57c8190b72b5d1b910d9db6 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4883dc5408190a6e7e110acf03a15 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48b3c360c8190a9851b8f5f639bef completed March 13, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69b4af2032188190b29939d5dc19ccd1 completed March 14, 2026, 12:43 a.m.
Created at: March 8, 2026, 3:24 p.m.