Triple

T14591759
Position Surface form Disambiguated ID Type / Status
Subject Somerset Region E342463 entity
Predicate hasTown P847 FINISHED
Object Moore
Moore is a small rural town in the Somerset Region of Queensland, Australia, known for its agricultural surroundings and role as a local service centre.
 E1109310 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: Moore | Statement: [Somerset Region, hasTown, Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moore
Context triple: [Somerset Region, hasTown, Moore]
  • A. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • B. Moore
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • C. Moore
    Moore is a suburban city in central Oklahoma, located just south of Oklahoma City and known for its history of devastating tornadoes.
  • D. Moore
    Moore is a major Gur language of Burkina Faso and surrounding regions, spoken primarily by the Mossi people.
  • E. Moore
    Moore is a character appearing in the film "Look at Me."
  • 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: Moore
Triple: [Somerset Region, hasTown, Moore]
Generated description
Moore is a small rural town in the Somerset Region of Queensland, Australia, known for its agricultural surroundings and role as a local service centre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moore
Target entity description: Moore is a small rural town in the Somerset Region of Queensland, Australia, known for its agricultural surroundings and role as a local service centre.
  • A. Moore
    Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
  • B. Moore
    Moore is a suburban city in central Oklahoma, located just south of Oklahoma City and known for its history of devastating tornadoes.
  • C. Moore
    Moore is a major Gur language of Burkina Faso and surrounding regions, spoken primarily by the Mossi people.
  • D. Moore
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • E. Moore
    Moore is a character appearing in the film "Look at Me."
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4249af08190962009741d1f7d41 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c36bb881909af16aa1df1766f8 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd9ab12c38819081772da28b5fe7da completed May 8, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_69fd9bb4dba08190b2ed507a47462b34 completed May 8, 2026, 8:15 a.m.
Created at: April 10, 2026, 1:24 a.m.