Triple

T14058390
Position Surface form Disambiguated ID Type / Status
Subject Snowy Monaro Regional Council E338277 entity
Predicate containsLocality P45140 FINISHED
Object Mila
Mila is a small rural locality situated within the Snowy Monaro region of New South Wales, Australia.
 E1078616 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: Mila | Statement: [Snowy Monaro Regional Council, containsLocality, Mila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mila
Context triple: [Snowy Monaro Regional Council, containsLocality, Mila]
  • A. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • B. Mila
    Mila is the nickname of Margaret Laura Hager, the granddaughter of former U.S. President George W. Bush.
  • C. Milina
    Milina is a seaside village in the Pelion region of central Greece, known for its tranquil beaches and views across the Pagasetic Gulf.
  • D. Marichka
    Marichka is a key supporting character in the dystopian film "Children of Men," known for helping protect the first pregnant woman in years.
  • E. Alisa
    Alisa is the birth name of Ayn Rand, the Russian-American novelist and philosopher known for developing Objectivism and writing works such as "Atlas Shrugged" and "The Fountainhead."
  • 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: Mila
Triple: [Snowy Monaro Regional Council, containsLocality, Mila]
Generated description
Mila is a small rural locality situated within the Snowy Monaro region of New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mila
Target entity description: Mila is a small rural locality situated within the Snowy Monaro region of New South Wales, Australia.
  • A. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • B. Mila
    Mila is the nickname of Margaret Laura Hager, the granddaughter of former U.S. President George W. Bush.
  • C. Milina
    Milina is a seaside village in the Pelion region of central Greece, known for its tranquil beaches and views across the Pagasetic Gulf.
  • D. Marichka
    Marichka is a key supporting character in the dystopian film "Children of Men," known for helping protect the first pregnant woman in years.
  • E. Alisa
    Alisa is the birth name of Ayn Rand, the Russian-American novelist and philosopher known for developing Objectivism and writing works such as "Atlas Shrugged" and "The Fountainhead."
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb662c37c8190a629278a97060080 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc99fca8c8190bbcafba5bacfdfda completed May 7, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_69fcca3a375c819092b3f67612d2ec0c completed May 7, 2026, 5:22 p.m.
Created at: April 9, 2026, 10:20 p.m.