Triple
T11790634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxembourg railway network |
E280377
|
entity |
| Predicate | hasBorderCrossing |
P4105
|
FINISHED |
| Object | Troisvierges |
E263272
|
NE FINISHED |
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: Troisvierges | Statement: [Luxembourg railway network, hasBorderCrossing, Troisvierges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troisvierges Context triple: [Luxembourg railway network, hasBorderCrossing, Troisvierges]
-
A.
Troisvierges
chosen
Troisvierges is a small town and commune in northern Luxembourg known for its railway junction and proximity to the borders with Belgium and Germany.
-
B.
La Comtoise
La Comtoise is a major French motorway (the A36) that links the regions of Burgundy and Franche-Comté, serving as an important east–west route in eastern France.
-
C.
Sébastienne
Sébastienne is a French feminine given name, used here as part of the full name Louise Sébastienne Gély.
-
D.
La Sablonière
La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
-
E.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a588d2c881909783c2d678c2a474 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09107fd2481908d765d2188035012 |
completed | April 28, 2026, 10:50 a.m. |
Created at: April 8, 2026, 9:42 p.m.