Triple
T24166511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L9 Sud |
E599000
|
entity |
| Predicate | servesPointOfInterest |
P7126
|
FINISHED |
| Object | Fira de Barcelona Gran Via |
—
|
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: Fira de Barcelona Gran Via | Statement: [L9 Sud, servesPointOfInterest, Fira de Barcelona Gran Via]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesPointOfInterest Context triple: [L9 Sud, servesPointOfInterest, Fira de Barcelona Gran Via]
-
A.
servesAttraction
chosen
Indicates that one entity functions as or provides a service that supports or enhances the experience of a particular attraction.
-
B.
parkServed
Indicates that a particular park is provided with services or coverage by a specified entity (such as a transit line, facility, or administrative body).
-
C.
isInhabitedPlaceServedBy
Indicates that a particular inhabited place is provided with services or coverage by a specified service entity (such as a facility, route, or organization).
-
D.
servesFeature
Indicates that one entity provides or makes available a particular feature or functionality to another entity.
-
E.
targetedPlace
Indicates that an entity intentionally directed an action, operation, or influence toward a specific place or location.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:32 p.m.