Triple
T14561459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line C (Strasbourg tram) |
E341674
|
entity |
| Predicate | isLetteredLine |
P17387
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Line C (Strasbourg tram), isLetteredLine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLetteredLine Context triple: [Line C (Strasbourg tram), isLetteredLine, true]
-
A.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
B.
hasLetter
chosen
Indicates that one entity contains, includes, or is associated with a specific letter or character.
-
C.
hasLineCharacter
Indicates that one entity possesses or includes a specific character or symbol that appears within a line of text or sequence.
-
D.
hasLetterBy
Indicates that an entity possesses or is associated with a letter authored or sent by another entity.
-
E.
isLinealTitle
Indicates that a given title is inherited directly through a line of descent (e.g., parent to child) rather than acquired by other means.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.