Triple
T26864952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieniny Proper |
E676438
|
entity |
| Predicate | isMostFamousPartOf |
P119236
|
FINISHED |
| Object | Pieniny Mountains |
—
|
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: Pieniny Mountains | Statement: [Pieniny Proper, isMostFamousPartOf, Pieniny Mountains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostFamousPartOf Context triple: [Pieniny Proper, isMostFamousPartOf, Pieniny Mountains]
-
A.
isMostProminentIn
Indicates that an entity stands out as the most notable, influential, or dominant among comparable entities within a specified context or domain.
-
B.
primaryCityLandmarkOf
Indicates that a landmark is a principal or defining landmark associated with a specific city.
-
C.
isNamesakeHomeOf
Indicates that a place serves as the home or primary location associated with the person, entity, or concept for which it is named.
-
D.
isMostFamouslyObservedIn
chosen
Indicates that something is best known or primarily recognized for being observed or occurring in a particular place, context, or setting.
-
E.
isPartOfCapitalCityOf
Indicates that something is a constituent or component of the capital city belonging to a particular political or administrative 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61e96d45881909f2b93dfc522064f |
completed | May 2, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:28 a.m.