Triple

T1322533
Position Surface form Disambiguated ID Type / Status
Subject Daejeon E28250 entity
Predicate hasMountain P10602 FINISHED
Object Bomunsan
Bomunsan is a prominent mountain and recreational area in Daejeon, South Korea, known for its hiking trails, temples, and city views.
 E152148 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: Bomunsan | Statement: [Daejeon, hasMountain, Bomunsan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bomunsan
Context triple: [Daejeon, hasMountain, Bomunsan]
  • A. Boeon
    Boeon was an ancient Greek city located in the region of Phocis.
  • B. Aegukga
    Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
  • C. Seoni
    Seoni is a town and district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to Pench National Park and its association with Rudyard Kipling’s "The Jungle Book."
  • D. Hanguk Suhwagi
    Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
  • E. Baeggu
    Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
  • 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: Bomunsan
Triple: [Daejeon, hasMountain, Bomunsan]
Generated description
Bomunsan is a prominent mountain and recreational area in Daejeon, South Korea, known for its hiking trails, temples, and city views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bomunsan
Target entity description: Bomunsan is a prominent mountain and recreational area in Daejeon, South Korea, known for its hiking trails, temples, and city views.
  • A. Boeon
    Boeon was an ancient Greek city located in the region of Phocis.
  • B. Aegukga
    Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
  • C. Seoni
    Seoni is a town and district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to Pench National Park and its association with Rudyard Kipling’s "The Jungle Book."
  • D. Hanguk Suhwagi
    Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
  • E. Baeggu
    Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19b76b48190aa8857b80971a842 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf2e13dc8190902879be5fa69adb completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbf94e6e881908d15b2ef99f17668 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc0b212608190bbb2310402d86ed9 completed March 8, 2026, 12:20 a.m.
Created at: March 1, 2026, 7:55 p.m.