Triple
T35786194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nîmes railway network |
E1034569
|
entity |
| Predicate | hasHighSpeedConnection |
P48478
|
FINISHED |
| Object | LGV Méditerranée |
—
|
NE NERFINISHED |
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: LGV Méditerranée | Statement: [Nîmes railway network, hasHighSpeedConnection, LGV Méditerranée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighSpeedConnection Context triple: [Nîmes railway network, hasHighSpeedConnection, LGV Méditerranée]
-
A.
hasServiceSpeed
Indicates that an entity provides a service operating at a specified speed or performance rate.
-
B.
hasHighSpeedPotential
Indicates that an entity possesses the capability or conditions to achieve or sustain a high rate of speed, even if it is not currently doing so.
-
C.
hasHighSpeedLine
chosen
Indicates that there exists a high-speed rail line connection between the related entities.
-
D.
hasFast
Indicates that an entity possesses or is associated with something characterized by high speed or quickness.
-
E.
hasNet
Indicates that one entity possesses, is equipped with, or includes a net.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff5285ed74819097e6e2a9084a079a |
completed | May 9, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69ff51fbe28881908ac8417dff9db81a |
completed | May 9, 2026, 3:25 p.m. |
Created at: May 3, 2026, 4:06 p.m.