Triple
T23763435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMT Madrid |
E587312
|
entity |
| Predicate | operatesInTransportNetwork |
P59862
|
FINISHED |
| Object | Madrid public transport network |
—
|
NE NERFINISHED |
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: Madrid public transport network | Statement: [EMT Madrid, operatesInTransportNetwork, Madrid public transport network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInTransportNetwork Context triple: [EMT Madrid, operatesInTransportNetwork, Madrid public transport network]
-
A.
usesPublicTransportNetwork
Indicates that an entity makes use of a public transportation system (such as buses, trains, trams, or subways) to travel or operate.
-
B.
isInTransportNetwork
Indicates that an entity is part of, connected to, or contained within a specific transport network or system.
-
C.
operatesRailNetworkOf
Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
-
D.
isOnPassengerNetwork
chosen
Indicates that an entity is part of, connected to, or operates within a passenger transportation network.
-
E.
appliesToTransitSystem
Indicates that something (such as a rule, policy, feature, or condition) is relevant or applicable to a particular transit or transportation system.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb40ee881908f3916cc6d05fc72 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.