Triple

T3510035
Position Surface form Disambiguated ID Type / Status
Subject Osan, South Korea E74173 entity
Predicate locatedInOrNextToBodyOfWater P1489 FINISHED
Object Osancheon
Osancheon is a river in Osan, South Korea, that flows through the city and serves as a local natural and recreational landmark.
 E363254 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: Osancheon | Statement: [Osan, South Korea, locatedInOrNextToBodyOfWater, Osancheon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Osancheon
Context triple: [Osan, South Korea, locatedInOrNextToBodyOfWater, Osancheon]
  • A. Gwan-eum
    Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
  • B. Sojin
    Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
  • C. Hankutchin
    Hankutchin is an alternative name for the Hän, an Athabaskan-speaking Indigenous people of the Yukon–Alaska border region.
  • D. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • E. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • 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: Osancheon
Triple: [Osan, South Korea, locatedInOrNextToBodyOfWater, Osancheon]
Generated description
Osancheon is a river in Osan, South Korea, that flows through the city and serves as a local natural and recreational landmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Osancheon
Target entity description: Osancheon is a river in Osan, South Korea, that flows through the city and serves as a local natural and recreational landmark.
  • A. Gwan-eum
    Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
  • B. Sojin
    Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
  • C. Hankutchin
    Hankutchin is an alternative name for the Hän, an Athabaskan-speaking Indigenous people of the Yukon–Alaska border region.
  • D. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • E. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0e1f0c8190b054d9fba16ce4b3 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e71ae8819096ea39955c92076a completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b374e50a088190ad4dc101efd68d54 completed March 13, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_69b37544b04c819090e6f59babd8017e completed March 13, 2026, 2:24 a.m.
Created at: March 8, 2026, 3:18 p.m.