Triple
T14987400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Paris Express |
E373739
|
entity |
| Predicate | numberOfNewLines |
P105365
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Grand Paris Express, numberOfNewLines, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNewLines Context triple: [Grand Paris Express, numberOfNewLines, 4]
-
A.
hasNumberOfLines
Indicates the relationship that specifies how many lines are associated with a given entity.
-
B.
countsNewlineAsLineSeparator
chosen
Indicates that newline characters are treated as the delimiters that separate one line from another.
-
C.
fastLinesUsedBy
Indicates that certain fast transportation or communication lines are utilized by a particular entity.
-
D.
lineCountPerStanza
Indicates the number of lines contained in each stanza of a poem or song.
-
E.
lineNumberingIntroduced
Indicates that a system, document, or text has had line numbering initiated or enabled.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7007588819095bb1de029a6f2eb |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:53 a.m.