Triple
T7261556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buk District, Daegu |
E159665
|
entity |
| Predicate | hasTransportInfrastructure |
P2560
|
FINISHED |
| Object | Daegu Metro Line 3 |
E689226
|
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: Daegu Metro Line 3 | Statement: [Buk District, Daegu, hasTransportInfrastructure, Daegu Metro Line 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daegu Metro Line 3 Context triple: [Buk District, Daegu, hasTransportInfrastructure, Daegu Metro Line 3]
-
A.
Daegu Metro Line 3
chosen
Daegu Metro Line 3 is a monorail rapid transit line in Daegu, South Korea, forming part of the city's urban rail network.
-
B.
Daegu Metro Line 2
Daegu Metro Line 2 is an east–west rapid transit line in Daegu, South Korea, forming a key part of the city's urban rail network.
-
C.
Daegu Metro Line 1
Daegu Metro Line 1 is a major rapid transit line in Daegu, South Korea, notable as the line on which the deadly 2003 Daegu subway fire occurred.
-
D.
Daegu Metro
Daegu Metro is the urban rapid transit system serving the city of Daegu in South Korea, providing high-capacity rail transportation across the metropolitan area.
-
E.
Busan Metro Line 2
Busan Metro Line 2 is a major east–west subway line in Busan, South Korea, connecting key residential, commercial, and industrial areas across the city.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac79fd081909274aa10ffb192aa |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c925264798819096e154ffa23ddfae |
completed | March 29, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:57 p.m.