Triple
T27475720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kranj |
E693451
|
entity |
| Predicate | populationRankInSlovenia |
P1169
|
FINISHED |
| Object | third largest city |
—
|
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: third largest city | Statement: [Kranj, populationRankInSlovenia, third largest city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInSlovenia Context triple: [Kranj, populationRankInSlovenia, third largest city]
-
A.
rankByLengthInSlovakia
Indicates that entities are ordered or compared based on their length within the context of Slovakia.
-
B.
populationRankInAlbania
Indicates the relative position of an entity in terms of population size compared to other entities within Albania.
-
C.
populationRank
chosen
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
D.
populationRankInLiechtenstein
Indicates the relative position of an entity in an ordered list based on its population size within Liechtenstein.
-
E.
populationRankInLithuania
Indicates the relative position of an entity in terms of population size compared to other entities within Lithuania.
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 27, 2026, 12:56 p.m.