Triple

T16535391
Position Surface form Disambiguated ID Type / Status
Subject Suwon E401676 entity
Predicate hasAdministrativeDistrict P15909 FINISHED
Object Jangan-gu
Jangan-gu is a district in the city of Suwon, South Korea, known for its residential neighborhoods and local commercial centers.
E1217840 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: Jangan-gu | Statement: [Suwon, hasAdministrativeDistrict, Jangan-gu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jangan-gu
Context triple: [Suwon, hasAdministrativeDistrict, Jangan-gu]
  • A. Gararu
    Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
  • B. Ogakumonjo
    Ogakumonjo is a historic structure within Kyoto Imperial Palace, traditionally associated with imperial academic or archival functions in Japan’s former capital.
  • C. Jicha Gan
    Jicha Gan is a regional variety of the Gan Chinese language spoken in parts of southern China.
  • D. Jajaghu
    Jajaghu is an alternative name for the Jago Temple, an ancient religious structure in Indonesia known for its historical and architectural significance.
  • E. Danjo Garan
    Danjo Garan is a central sacred temple complex on Mount Koya in Japan, founded by the monk Kūkai and serving as one of the core sites of Shingon Buddhism.
  • 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: Jangan-gu
Triple: [Suwon, hasAdministrativeDistrict, Jangan-gu]
Generated description
Jangan-gu is a district in the city of Suwon, South Korea, known for its residential neighborhoods and local commercial centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jangan-gu
Target entity description: Jangan-gu is a district in the city of Suwon, South Korea, known for its residential neighborhoods and local commercial centers.
  • A. Gararu
    Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
  • B. Ogakumonjo
    Ogakumonjo is a historic structure within Kyoto Imperial Palace, traditionally associated with imperial academic or archival functions in Japan’s former capital.
  • C. Jicha Gan
    Jicha Gan is a regional variety of the Gan Chinese language spoken in parts of southern China.
  • D. Jajaghu
    Jajaghu is an alternative name for the Jago Temple, an ancient religious structure in Indonesia known for its historical and architectural significance.
  • E. Danjo Garan
    Danjo Garan is a central sacred temple complex on Mount Koya in Japan, founded by the monk Kūkai and serving as one of the core sites of Shingon Buddhism.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e345574d88819094548367bf983078 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006094dee481908757b84c10d0dc19 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0060eca9fc81908f376cd2f7219bcd completed May 10, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_6a00622f44ec8190a7d66c7882ae28b2 completed May 10, 2026, 10:47 a.m.
Created at: April 10, 2026, 5:15 a.m.