Triple

T7026839
Position Surface form Disambiguated ID Type / Status
Subject South Jeolla region E162969 entity
Predicate hasCity P316 FINISHED
Object Haenam
Haenam is a coastal county in South Jeolla Province, South Korea, known for being the country's southernmost mainland point and for its scenic agricultural landscapes.
 E636079 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: Haenam | Statement: [South Jeolla region, hasCity, Haenam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haenam
Context triple: [South Jeolla region, hasCity, Haenam]
  • A. Tanaeang
    Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • B. Bejae
    Bejae is an ancient name historically associated with the Beja people of northeastern Africa, reflecting their early cultural and regional identity.
  • C. Bulhon
    Bulhon is a small commune in central France’s Puy-de-Dôme department, situated within the Thiers arrondissement.
  • D. Hankutchin
    Hankutchin is an alternative name for the Hän, an Athabaskan-speaking Indigenous people of the Yukon–Alaska border region.
  • E. Haiman
    Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
  • 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: Haenam
Triple: [South Jeolla region, hasCity, Haenam]
Generated description
Haenam is a coastal county in South Jeolla Province, South Korea, known for being the country's southernmost mainland point and for its scenic agricultural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haenam
Target entity description: Haenam is a coastal county in South Jeolla Province, South Korea, known for being the country's southernmost mainland point and for its scenic agricultural landscapes.
  • A. Tanaeang
    Tanaeang is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • B. Bejae
    Bejae is an ancient name historically associated with the Beja people of northeastern Africa, reflecting their early cultural and regional identity.
  • C. Bulhon
    Bulhon is a small commune in central France’s Puy-de-Dôme department, situated within the Thiers arrondissement.
  • D. Hankutchin
    Hankutchin is an alternative name for the Hän, an Athabaskan-speaking Indigenous people of the Yukon–Alaska border region.
  • E. Haiman
    Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fd6ab48190865271e16e8ff669 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77588285481909799a2bb76921b9a completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c777902cbc8190b24ee5e441c5607e completed March 28, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69c77807d33c8190bb3e236829f06071 completed March 28, 2026, 6:41 a.m.
Created at: March 27, 2026, 2:35 p.m.