Triple
T16873854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huoying station |
E421245
|
entity |
| Predicate | connectsPassengersTo |
P108512
|
FINISHED |
| Object | Line 13 |
E185777
|
NE FINISHED |
How this triple was built (3 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 13 | Statement: [Huoying station, connectsPassengersTo, Line 13]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 13 Context triple: [Huoying station, connectsPassengersTo, Line 13]
-
A.
Line 13
Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
-
B.
Line 13
chosen
Line 13 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China.
-
C.
Line 13
Line 13 is a major rapid transit route in the Shanghai Metro system that serves key urban districts and supports heavy commuter traffic across the city.
-
D.
Line 13
Line 13 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
E.
Line 13
Line 13 is one of the busiest and most congested lines of the Paris Métro, running north–south across the city and serving major hubs such as Saint-Lazare.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsPassengersTo Context triple: [Huoying station, connectsPassengersTo, Line 13]
-
A.
passengers
Indicates that one entity is traveling in or being transported by another entity, typically as a non-operating occupant.
-
B.
connectedByPeopleMoverTo
Indicates that two locations are linked by a people mover system that transports people between them.
-
C.
passengerSystem
Indicates a relationship where an entity functions as or belongs to a passenger-related system (such as a transport or service system designed for passengers).
-
D.
servesPassengerTrafficTo
chosen
Indicates that a transportation facility or service provides regular passenger traffic access or operations to a particular location or area.
-
E.
crewTransportSegment
Indicates a segment of a journey during which crew members are transported from one location to another.
- F. None of above.
Provenance (4 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f40410819088db22fa0d1eb808 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a27f548190963c35f40f4420f8 |
completed | May 10, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.