Triple
T22338185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parish of Campanhã, Porto |
E552204
|
entity |
| Predicate | hasIntermodalRole |
P147842
|
FINISHED |
| Object | major interchange between rail, metro and bus services |
—
|
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: major interchange between rail, metro and bus services | Statement: [Parish of Campanhã, Porto, hasIntermodalRole, major interchange between rail, metro and bus services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntermodalRole Context triple: [Parish of Campanhã, Porto, hasIntermodalRole, major interchange between rail, metro and bus services]
-
A.
hasInterchangeRole
Indicates that one entity serves in a role that allows it to be exchanged or substituted with another entity within a given context or system.
-
B.
hasCargoRole
Indicates that an entity participates in a cargo-related capacity or function within a transport, shipment, or logistics context.
-
C.
hasShipRole
Indicates that an entity holds or is assigned a specific role or function on a ship.
-
D.
hasPassengerRole
Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
-
E.
hasLongHaulDiversionRole
Indicates that an entity serves as an alternate or backup option specifically for long-haul operations or routes when diversions are required.
- F. None of above. chosen
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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1578184f481908d4ec1737a8a72d4 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.