Triple
T10665899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almaty Metro |
E251356
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Line 1
Line 1 is the inaugural and primary metro line of the Almaty Metro system in Almaty, Kazakhstan, serving as a key rapid transit corridor in the city.
|
E876707
|
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 1 | Statement: [Almaty Metro, hasLine, Line 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 1 Context triple: [Almaty Metro, hasLine, Line 1]
-
A.
Line 1
Line 1 is the oldest and one of the busiest lines of the Mexico City Metro, running east–west across the city and serving many central, high-traffic stations.
-
B.
Line 1
Line 1 is the oldest and one of the busiest lines of the Paris Métro, running primarily east–west through central Paris and serving many major landmarks.
-
C.
Line 1
Line 1 is a major Beijing Subway route that runs north–south through the city’s central axis, serving key commercial and historical areas.
-
D.
Line 1
Line 1 is a principal route of the Nottingham Express Transit tram network, connecting key suburbs with Nottingham city centre.
-
E.
Line 1
Line 1 is the designation for the Red Line, one of the main rapid transit corridors of the Delhi Metro network in India.
- 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 1 Triple: [Almaty Metro, hasLine, Line 1]
Generated description
Line 1 is the inaugural and primary metro line of the Almaty Metro system in Almaty, Kazakhstan, serving as a key rapid transit corridor in the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 1 Target entity description: Line 1 is the inaugural and primary metro line of the Almaty Metro system in Almaty, Kazakhstan, serving as a key rapid transit corridor in the city.
-
A.
Line 1
Line 1 is the first and primary rapid transit line of the Sofia Metro system in Bulgaria, connecting key residential districts with the city center and major transport hubs.
-
B.
Line 1
Line 1 is a major rapid transit line of the Shenzhen Metro system, serving as one of the city's primary east–west subway corridors.
-
C.
Line 1
Line 1 is a major line of the Seoul Metropolitan Subway system, serving as one of its oldest and busiest commuter rail corridors across the Seoul metropolitan area.
-
D.
Line 1
Line 1 is the inaugural corridor of the Mexico City Metrobús bus rapid transit system, serving as a major north–south transit route in the city.
-
E.
Line 1
Line 1 is a major rapid transit line of the Chongqing Metro system in Chongqing, China, providing east–west urban rail service 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31f87748190bb44db8afa901763 |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9566e08190a92b49ce73963078 |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc2b66c8190909a23927fbe3af5 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e189800819087bf6af15b2370a2 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:08 p.m.