Triple
T16066176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vlkolínec |
E389736
|
entity |
| Predicate | numberOfTraditionalHouses |
P1264
|
FINISHED |
| Object | about 45 |
—
|
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: about 45 | Statement: [Vlkolínec, numberOfTraditionalHouses, about 45]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTraditionalHouses Context triple: [Vlkolínec, numberOfTraditionalHouses, about 45]
-
A.
traditionallyHouses
Indicates that one entity has historically or customarily served as the location or container for another entity.
-
B.
numberOfNewTraditionalStyleBuildings
Indicates the count of newly constructed buildings that follow a traditional architectural style.
-
C.
numberOfHouses
chosen
Indicates the quantity of houses associated with a given entity or context.
-
D.
hasTraditionalHouseStyle
Indicates that an entity possesses or is characterized by a traditional style of house or residential architecture.
-
E.
numberOfMainHouses
Indicates the quantity of primary or main residential houses associated with an entity.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.