Triple
T24106245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauren |
E597233
|
entity |
| Predicate | populationRankInLiechtenstein |
P155086
|
FINISHED |
| Object | among smaller municipalities |
—
|
LITERAL 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: among smaller municipalities | Statement: [Mauren, populationRankInLiechtenstein, among smaller municipalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInLiechtenstein Context triple: [Mauren, populationRankInLiechtenstein, among smaller municipalities]
-
A.
hasPopulationRankInSwitzerland
Indicates the relative position of an entity in the ordered list of populations within Switzerland, such as its rank by population size compared to other Swiss entities.
-
B.
populationRankInLuxembourg
Indicates the relative position of a place in Luxembourg when ordered by the size of its population.
-
C.
economicRankInSwitzerland
Indicates the relative economic standing or rank of an entity within the context of Switzerland’s economy.
-
D.
heightRankingInSwitzerland
Indicates the relative position of an entity in an ordered list based on its height specifically within the context of Switzerland.
-
E.
populationRankInCanton
Indicates the relative position of an entity in terms of population size compared to other entities within the same canton.
- F. None of above. chosen
Provenance (4 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de170ee88190a6d57482651f7da9 |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 11:01 p.m.