Triple
T4749917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Metropolitan Subway |
E105452
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Line 6
Line 6 is a major route of the Seoul Metropolitan Subway system that runs in a semi-circular path through northern Seoul, connecting numerous residential and commercial districts.
|
E467936
|
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: Line 6 | Statement: [Seoul Metropolitan Subway, hasPart, Line 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 6 Context triple: [Seoul Metropolitan Subway, hasPart, Line 6]
-
A.
Line 6
Line 6 is a major rapid transit route in the Beijing Subway system that runs east–west across the city, helping to relieve congestion on other central lines.
-
B.
Line 6
Line 6 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving multiple urban districts with frequent subway service.
-
C.
Line 6
Line 6 is a major north–south route of the Tehran Metro system, serving numerous key districts across Iran’s capital city.
-
D.
Line 6
Line 6 is a planned rapid transit route within the future Ho Chi Minh City Metro system in Vietnam.
-
E.
Line 6
Line 6 is a route of the Tunis Metro light rail network serving passengers within the Tunis metropolitan area.
- 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: Line 6 Triple: [Seoul Metropolitan Subway, hasPart, Line 6]
Generated description
Line 6 is a major route of the Seoul Metropolitan Subway system that runs in a semi-circular path through northern Seoul, connecting numerous residential and commercial districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 6 Target entity description: Line 6 is a major route of the Seoul Metropolitan Subway system that runs in a semi-circular path through northern Seoul, connecting numerous residential and commercial districts.
-
A.
Line 6
Line 6 is a major north–south route of the Tehran Metro system, serving numerous key districts across Iran’s capital city.
-
B.
Line 6
Line 6 is a major rapid transit route in the Beijing Subway system that runs east–west across the city, helping to relieve congestion on other central lines.
-
C.
Line 6
Line 6 is a route of the Mexico City Metro system that runs east–west across the northern part of the city, connecting several residential and commercial areas.
-
D.
Line 6
Line 6 is a rapid transit line of the Shanghai Metro system serving several districts along the city’s eastern side.
-
E.
Line 6
Line 6 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving multiple districts across the city.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c83af48190bd57be79c1505e9d |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a4e0844819098bb9abb05094a89 |
completed | March 21, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69be3c9f8e048190a951b26c36cb7b23 |
completed | March 21, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3d232b888190a0fd64c55a18eb48 |
completed | March 21, 2026, 6:39 a.m. |
Created at: March 20, 2026, 1:20 p.m.