Triple
T10575018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrocarrils de la Generalitat de Catalunya urban lines |
E249584
|
entity |
| Predicate | peakHeadway |
P94711
|
FINISHED |
| Object | few minutes on central sections |
—
|
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: few minutes on central sections | Statement: [Ferrocarrils de la Generalitat de Catalunya urban lines, peakHeadway, few minutes on central sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakHeadway Context triple: [Ferrocarrils de la Generalitat de Catalunya urban lines, peakHeadway, few minutes on central sections]
-
A.
englishOutcome
Indicates that an event, action, or process results in a particular outcome expressed in English.
-
B.
memorizationPractice
Indicates engaging in activities or exercises specifically intended to commit information to memory or strengthen recall.
-
C.
EnglishStrength
Indicates the degree or level of proficiency or capability in using the English language.
-
D.
musicPractice
Indicates engaging in the activity of practicing or rehearsing music, typically to improve skill or prepare for performance.
-
E.
correctPronunciation
Indicates that one entity provides the accurate or standard way to pronounce another entity (such as a word or name).
- 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_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. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:38 p.m.