Triple
T30224139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pío Baroja stop |
E768429
|
entity |
| Predicate | servesTransportFunction |
P13380
|
FINISHED |
| Object | urban passenger transport |
—
|
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: urban passenger transport | Statement: [Pío Baroja stop, servesTransportFunction, urban passenger transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTransportFunction Context triple: [Pío Baroja stop, servesTransportFunction, urban passenger transport]
-
A.
hasTransportFunction
chosen
Indicates that an entity serves to move or carry something (such as people, goods, or signals) from one place or state to another.
-
B.
servedByTransportation
Indicates that a location or entity is provided access or connection by a particular mode or service of transportation.
-
C.
servesTransportLinks
Indicates that one entity provides or supports transportation connections or routes for another entity or area.
-
D.
definesTransportFor
Indicates that one entity specifies or determines the means, method, or system of transport used by another entity.
-
E.
usesTransport
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: April 29, 2026, 7:35 p.m.