Triple

T6597294
Position Surface form Disambiguated ID Type / Status
Subject Yeongdeungpo District E148508 entity
Predicate hasNeighbour P5707 FINISHED
Object Guro District E597359 NE FINISHED

How this triple was built (2 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: Guro District | Statement: [Yeongdeungpo District, hasNeighbour, Guro District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guro District
Context triple: [Yeongdeungpo District, hasNeighbour, Guro District]
  • A. Guro District, Seoul chosen
    Guro District, Seoul is a southwestern administrative district of South Korea’s capital known for its digital industrial complexes and technology-focused business centers.
  • B. Seo District
    Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
  • C. Dongdaemun-gu
    Dongdaemun-gu is a central district in Seoul, South Korea, known for its major commercial areas, historic sites, and the iconic Dongdaemun Design Plaza.
  • D. Yeongdeungpo District
    Yeongdeungpo District is a major administrative and commercial area in southwestern Seoul, South Korea, known for its government institutions, business centers, and dense urban development.
  • E. Songpa District
    Songpa District is a populous and affluent southeastern borough of Seoul, South Korea, known for attractions like Lotte World and the 1988 Olympic Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeecdd4c819092b87f4c91883154 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42fc9ec8190a6bb19010337d516 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:56 p.m.