Triple
T26938990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austrian railway network |
E678459
|
entity |
| Predicate | hasCrossBorderRoute |
P110142
|
FINISHED |
| Object |
Vienna–Munich
Vienna–Munich is a major international rail corridor linking Austria’s capital with southern Germany’s largest city, serving as a key passenger and freight route across the Alps.
|
E1746569
|
NE FINISHED |
How this triple was built (3 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: Vienna–Munich | Statement: [Austrian railway network, hasCrossBorderRoute, Vienna–Munich]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vienna–Munich Triple: [Austrian railway network, hasCrossBorderRoute, Vienna–Munich]
Generated description
Vienna–Munich is a major international rail corridor linking Austria’s capital with southern Germany’s largest city, serving as a key passenger and freight route across the Alps.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossBorderRoute Context triple: [Austrian railway network, hasCrossBorderRoute, Vienna–Munich]
-
A.
hasCrossBorderArea
Indicates that an entity is associated with or spans a geographic area that extends across national or jurisdictional borders.
-
B.
haveCrossBorderCorridor
chosen
Indicates that there exists a designated corridor or route enabling movement or interaction across a national or regional border between the related entities.
-
C.
isCrossBorder
Indicates that the relationship or action involves entities located in or spanning across different national or jurisdictional boundaries.
-
D.
hasBorderCrossing
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
-
E.
hasCrossBorderCenter
Indicates that an entity operates or is associated with a center whose activities, services, or scope extend across national borders.
- F. None of above.
Provenance (6 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a121ec47efc81909b1a297f00e68daa |
completed | May 23, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_6a121f5c372481909cfd4c5ebc39f5ea |
completed | May 23, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a122004aadc819084dbaa834408a0bc |
completed | May 23, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 6:17 a.m.