Triple
T28255639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Trebnje |
E712436
|
entity |
| Predicate | locatedOnTransportRouteBetween |
P68000
|
FINISHED |
| Object | Ljubljana |
—
|
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: Ljubljana | Statement: [Municipality of Trebnje, locatedOnTransportRouteBetween, Ljubljana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnTransportRouteBetween Context triple: [Municipality of Trebnje, locatedOnTransportRouteBetween, Ljubljana]
-
A.
situatedOnTransportRoute
Indicates that one entity is located along, on, or directly adjacent to a specified transport route (such as a road, railway, or shipping lane).
-
B.
locatedOnRouteTo
chosen
Indicates that one entity lies along the path or course taken when traveling from a starting point to a specified destination.
-
C.
commutesBetween
Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
-
D.
locatedInTransportCorridor
Indicates that an entity is situated within a designated transport corridor used for the movement of people or goods.
-
E.
connectsToMetroLineAt
Indicates that one location or transportation facility is directly linked or provides access to a specific metro line at a particular point.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
Created at: April 27, 2026, 11:08 p.m.