Triple
T20133108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Subway Line 7 |
E490948
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Guro District |
—
|
NE NERFINISHED |
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: [Seoul Subway Line 7, serves, Guro District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guro District Context triple: [Seoul Subway Line 7, serves, Guro District]
-
A.
Guro-gu
Guro-gu is a district in southwestern Seoul, South Korea, known for its industrial areas, digital technology clusters, and dense urban residential neighborhoods.
-
B.
Chuo-ku
Chuo-ku is a central ward of Kobe in Hyogo Prefecture, Japan, known for its commercial districts, government offices, and urban waterfront areas.
-
C.
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.
-
D.
Seo District
Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66763ee908190af64af31b4ca2377 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.