Triple
T12132221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 5 (Brussels Metro) |
E288960
|
entity |
| Predicate | openedAsCurrentLineNumber |
P103554
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Line 5 (Brussels Metro), openedAsCurrentLineNumber, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsCurrentLineNumber Context triple: [Line 5 (Brussels Metro), openedAsCurrentLineNumber, 2009]
-
A.
openedFirstLine
Indicates that one entity initiated the opening of something (e.g., a file, document, or interface) before any other entity did, being the first to perform the opening action.
-
B.
originalLineOpened
Indicates that a transportation or service line began its initial operation or was first opened for use.
-
C.
openedAsCurrentAlignment
Indicates that one entity was opened or initiated in the same configuration, position, or state as the current alignment of another entity.
-
D.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
-
E.
openedAs
Indicates that one entity began operating, functioning, or being available to the public under the form, name, or role of another entity.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.