Triple
T13847093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travemünde |
E332834
|
entity |
| Predicate | hasFerryRouteTo |
P1831
|
FINISHED |
| Object | Trelleborg |
E394800
|
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: Trelleborg | Statement: [Travemünde, hasFerryRouteTo, Trelleborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trelleborg Context triple: [Travemünde, hasFerryRouteTo, Trelleborg]
-
A.
Trelleborg
chosen
Trelleborg is a coastal town in southern Sweden known as an important ferry port and transport hub near the country’s southernmost point.
-
B.
Torsby
Torsby is a small town in Värmland County, Sweden, known for its strong motorsport culture and role as a former base for Rally Sweden.
-
C.
Norbrook
Norbrook is an upscale residential and commercial neighborhood located in the parish of St. Andrew in Jamaica.
-
D.
Stenstorp
Stenstorp is a small locality in Västra Götaland County, Sweden, known as the birthplace of Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
-
E.
Höganäs
Höganäs is a coastal town and municipality in Skåne County in southern Sweden, known for its ceramics industry and scenic location by the Öresund Strait.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f189008190bb9afeef42564a33 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.