Triple
T10575163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hola Barcelona Travel Card |
E249590
|
entity |
| Predicate | validInZone |
P58836
|
FINISHED |
| Object | Barcelona fare zone 1 |
—
|
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: Barcelona fare zone 1 | Statement: [Hola Barcelona Travel Card, validInZone, Barcelona fare zone 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: validInZone Context triple: [Hola Barcelona Travel Card, validInZone, Barcelona fare zone 1]
-
A.
hasZone
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
B.
validIn
Indicates that a given entity, statement, or condition is applicable, correct, or legally/semantically acceptable within a specified context, scope, or domain.
-
C.
validInLimit
Indicates that a condition, rule, or value remains applicable or holds true as some parameter approaches a specified limit or boundary.
-
D.
validityArea
chosen
Indicates the geographic or contextual area within which something (such as a rule, document, or status) is considered valid or in effect.
-
E.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by another entity.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274b100c8190b477ef4cb745c269 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:38 p.m.