Triple
T23879941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martigny–Orsières line |
E600171
|
entity |
| Predicate | junctionLocation |
P14465
|
FINISHED |
| Object | Martigny 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: Martigny station | Statement: [Martigny–Orsières line, junctionLocation, Martigny station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: junctionLocation Context triple: [Martigny–Orsières line, junctionLocation, Martigny station]
-
A.
junctionStation
chosen
Indicates that a station functions as a junction where multiple routes or lines intersect or connect.
-
B.
junctionNumber
Indicates the identifying number assigned to a specific junction or intersection within a network or system.
-
C.
junctionType
Indicates the specific kind or configuration of a junction that relates connected elements or paths.
-
D.
linkedLocation
Indicates that one location is associated or connected to another location in a meaningful way, such as being related, referenced, or contextually tied.
-
E.
significantJunction
Indicates a junction or intersection that plays an important or central role in connecting routes or pathways.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc05226c8190aa640b6a89cb3ed3 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:23 p.m.