Triple
T20053224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bratislava III District |
E499256
|
entity |
| Predicate | isNumberedDistrictOfBratislava |
P13282
|
FINISHED |
| Object | III |
—
|
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: III | Statement: [Bratislava III District, isNumberedDistrictOfBratislava, III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNumberedDistrictOfBratislava Context triple: [Bratislava III District, isNumberedDistrictOfBratislava, III]
-
A.
distanceFromBratislava_km
Indicates the distance, measured in kilometers, between a given entity’s location and the city of Bratislava.
-
B.
numberInSlovak
Indicates that a given number is expressed or represented in the Slovak language.
-
C.
communityDistrictNumber
chosen
Indicates the specific community district identifier associated with an entity or location.
-
D.
distanceFromBrno
Indicates the spatial distance between a given entity and the city of Brno.
-
E.
locatedInDirectionFromBrno
Indicates that one place is situated in a specified cardinal or relative direction from the city of Brno.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6633043a481908359ad232607182a |
completed | April 20, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:38 p.m.