Triple
T35545835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grevenmacher |
E1027210
|
entity |
| Predicate | isCantonCapitalOf |
P60841
|
FINISHED |
| Object | Grevenmacher canton |
—
|
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: Grevenmacher canton | Statement: [Grevenmacher, isCantonCapitalOf, Grevenmacher canton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCantonCapitalOf Context triple: [Grevenmacher, isCantonCapitalOf, Grevenmacher canton]
-
A.
governingCantonCapital
chosen
Indicates that a city serves as the capital and administrative seat of the specified canton.
-
B.
locatedInCountryCapitalOfCanton
Indicates that something is located in the country that is the capital of a specific canton.
-
C.
capitalCityOfLargestCanton
Indicates the city that serves as the capital of the geographically largest canton within a given country or region.
-
D.
hasCanton
Indicates that an entity is administratively divided into, or associated with, a specific canton.
-
E.
largestCantonByPopulation
Indicates that the subject is the canton with the highest population among a specified set or within a given region.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.