Triple
T11831404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trnava Region |
E281400
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Galanta |
E278181
|
NE 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: Galanta | Statement: [Trnava Region, hasCity, Galanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galanta Context triple: [Trnava Region, hasCity, Galanta]
-
A.
Galanta
chosen
Galanta is a town in southern Slovakia known as a regional center with historical ties to the Esterházy noble family.
-
B.
Yarrowitch
Yarrowitch is a small rural locality in New South Wales, Australia, known for its agricultural landscape and proximity to national parks and natural attractions.
-
C.
Garwolin
Garwolin is a town in eastern Poland, located in the Masovian Voivodeship southeast of Warsaw.
-
D.
Glapthorn
Glapthorn is a small rural village in Northamptonshire, England, known for its traditional countryside setting and proximity to the market town of Oundle.
-
E.
Freisa
Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62c95988190a45dbaa7001c8846 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16741d9a08190b6d6d5e59dfa41b8 |
completed | April 29, 2026, 2:04 a.m. |
Created at: April 8, 2026, 9:43 p.m.