Triple
T29934799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Châtelet–Les Halles station |
E760328
|
entity |
| Predicate | connectedToStationComplex |
P21403
|
FINISHED |
| Object | Châtelet station |
—
|
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: Châtelet station | Statement: [Châtelet–Les Halles station, connectedToStationComplex, Châtelet station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToStationComplex Context triple: [Châtelet–Les Halles station, connectedToStationComplex, Châtelet station]
-
A.
connectsAtStation
chosen
Indicates that one transportation service or route links to another at a specific station, allowing passengers to transfer between them there.
-
B.
aimedToConnect
Indicates an intention or effort by one entity to establish a link, relationship, or communication channel with another entity.
-
C.
stationOnLine
Indicates that a particular station is located on or served by a specific transit line.
-
D.
connectsState
Indicates a relationship where one entity serves as a link or conduit between different states, conditions, or statuses of another entity.
-
E.
connectedByHighSpeedService
Indicates that two locations are linked by a high-speed transportation service, such as high-speed rail.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 29, 2026, 6:20 p.m.