Triple
T37164998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krupina |
E920769
|
entity |
| Predicate | isRoyalTown |
P172421
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Krupina, isRoyalTown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRoyalTown Context triple: [Krupina, isRoyalTown, true]
-
A.
isRoyalTownOf
chosen
Indicates that a town holds an official or historical royal status or designation in relation to a monarchy.
-
B.
isProvincialTown
Indicates that a place is classified as a town that serves as an administrative or local center within a province rather than a major city or rural area.
-
C.
isTown
Indicates that the subject entity is classified as a town.
-
D.
isInteriorTownOf
Indicates that one town is located within the interior region of, and is administratively or geographically associated with, a larger area or jurisdiction.
-
E.
isCivilTownship
Indicates that one entity is a civil township, i.e., an administrative or local government subdivision, in relation to another 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.