Triple

T23405877
Position Surface form Disambiguated ID Type / Status
Subject Zavkhan Province E559931 entity
Predicate hasSettlement P1068 FINISHED
Object Numrug
Numrug is a small settlement located within Zavkhan Province in western Mongolia.
 E1584255 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: Numrug | Statement: [Zavkhan Province, hasSettlement, Numrug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Numrug
Context triple: [Zavkhan Province, hasSettlement, Numrug]
  • A. Núr
    Núr is the second month of the Badíʻ (Baháʼí) calendar, whose name means “Light” in Arabic.
  • B. Numèè
    Numèè is an indigenous Kanak language of southern New Caledonia, spoken by local communities on the Isle of Pines and nearby areas.
  • C. Nergui
    Nergui is a young Mongolian boy who becomes the mysterious and imaginative focus of the story in Frank Cottrell Boyce’s children’s novel *The Unforgotten Coat*.
  • D. Nuran
    Nuran is a central fictional character in the Turkish novel "Huzur" by Ahmet Hamdi Tanpınar, known for her complex emotional depth and pivotal role in the story’s exploration of love and inner turmoil.
  • E. Nohr
    Nohr is a dark, militaristic kingdom in the game Fire Emblem Fates, known for its harsh environment, power struggles, and central role in the story’s political conflict.
  • 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: Numrug
Triple: [Zavkhan Province, hasSettlement, Numrug]
Generated description
Numrug is a small settlement located within Zavkhan Province in western Mongolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Numrug
Target entity description: Numrug is a small settlement located within Zavkhan Province in western Mongolia.
  • A. Núr
    Núr is the second month of the Badíʻ (Baháʼí) calendar, whose name means “Light” in Arabic.
  • B. Numèè
    Numèè is an indigenous Kanak language of southern New Caledonia, spoken by local communities on the Isle of Pines and nearby areas.
  • C. Nergui
    Nergui is a young Mongolian boy who becomes the mysterious and imaginative focus of the story in Frank Cottrell Boyce’s children’s novel *The Unforgotten Coat*.
  • D. Nuran
    Nuran is a central fictional character in the Turkish novel "Huzur" by Ahmet Hamdi Tanpınar, known for her complex emotional depth and pivotal role in the story’s exploration of love and inner turmoil.
  • E. Nohr
    Nohr is a dark, militaristic kingdom in the game Fire Emblem Fates, known for its harsh environment, power struggles, and central role in the story’s political conflict.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e364548190b98dc09240fba58e completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5df67cac8190868ab0068248be07 completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5ff391208190a1e5e5d3604de8fb completed May 19, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0c609b4e108190a8abe634d326f62d completed May 19, 2026, 1:07 p.m.
Created at: April 17, 2026, 5:38 p.m.