Triple
T8517776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Shentong Metro Group |
E201617
|
entity |
| Predicate | modeOfTransportOperated |
P1379
|
FINISHED |
| Object | metro |
—
|
LITERAL 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: metro | Statement: [Shanghai Shentong Metro Group, modeOfTransportOperated, metro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfTransportOperated Context triple: [Shanghai Shentong Metro Group, modeOfTransportOperated, metro]
-
A.
transportType
chosen
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
B.
operatedPassengerServices
Indicates that an entity provided and managed transportation services specifically for carrying passengers.
-
C.
transportationServedBy
Indicates that a transportation facility, route, or area is provided service or coverage by a specific transportation provider or mode.
-
D.
operatesTransitSystem
Indicates that one entity manages and runs the public transportation network or services for another entity or area.
-
E.
transportOperator
Indicates that an entity is responsible for operating or managing the transportation of people or goods between locations.
- F. None of above.
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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe626787c819087e72dd76b2d9310 |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:15 p.m.