Triple
T12677307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linha do Oeste |
E302848
|
entity |
| Predicate | hasLineNumbering |
P70178
|
FINISHED |
| Object | Oeste line in Portuguese timetables |
—
|
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: Oeste line in Portuguese timetables | Statement: [Linha do Oeste, hasLineNumbering, Oeste line in Portuguese timetables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLineNumbering Context triple: [Linha do Oeste, hasLineNumbering, Oeste line in Portuguese timetables]
-
A.
hasLineNumber
Indicates that something is associated with a specific line number, typically denoting its position within an ordered sequence such as lines of text or code.
-
B.
lineNumberingIntroduced
Indicates that a system, document, or text has had line numbering initiated or enabled.
-
C.
lineNumbering
chosen
Indicates that a specific system or document applies sequential numbers to each line of its content.
-
D.
lineNumberingScheme
Indicates the specific method or convention used to assign and display line numbers within a text or document.
-
E.
hasCategoryNumbering
Indicates that an entity is assigned or associated with a specific category-based numbering or index within a classification system.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.