Triple
T34558298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin to Cork railway line |
E887267
|
entity |
| Predicate | connectsViaJunction |
P1018
|
FINISHED |
| Object | Limerick |
—
|
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: Limerick | Statement: [Dublin to Cork railway line, connectsViaJunction, Limerick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsViaJunction Context triple: [Dublin to Cork railway line, connectsViaJunction, Limerick]
-
A.
hasJunctionWith
chosen
Indicates that one entity meets or intersects with another at a shared junction point.
-
B.
servesJunction
Indicates that one element functions as a connecting or branching point where multiple other elements meet or intersect.
-
C.
isJunction
Indicates that an entity functions as a junction point where multiple paths, lines, or connections meet or intersect.
-
D.
hasJunctionIn
Indicates that one entity contains or includes a junction located within the spatial or structural extent of another entity.
-
E.
bridgeConnectsVia
Indicates that a bridge serves as the connecting structure or route between two locations or entities via a specified path or medium.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
Created at: May 1, 2026, 2:02 a.m.