Triple
T2043269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LGV Sud-Est |
E44791
|
entity |
| Predicate | formsBackboneOf |
P2565
|
FINISHED |
| Object | French TGV network |
—
|
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: French TGV network | Statement: [LGV Sud-Est, formsBackboneOf, French TGV network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsBackboneOf Context triple: [LGV Sud-Est, formsBackboneOf, French TGV network]
-
A.
isBackboneOf
chosen
Indicates that one entity forms the main supporting structure or central framework upon which another entity fundamentally depends.
-
B.
formsBackdropOf
Indicates that one entity serves as the background or setting against which another entity is viewed, occurs, or is presented.
-
C.
formedBy
Indicates that something comes into existence or is created as a result of a specific agent, process, or combination of components.
-
D.
becameBasisOf
Indicates that one entity served as the foundational source, model, or starting point upon which another entity was developed, derived, or established.
-
E.
backing
Indicates providing support, endorsement, or financial/resources assistance to someone or something, often enabling or strengthening their actions or position.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.