Triple
T12734952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veľká Fatra |
E304337
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Turiec |
E437092
|
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: Turiec | Statement: [Veľká Fatra, containsRiver, Turiec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turiec Context triple: [Veľká Fatra, containsRiver, Turiec]
-
A.
Turiec
chosen
Turiec is a historical and geographical region in north-central Slovakia, known for its basin landscape surrounded by mountains and the town of Martin as its cultural center.
-
B.
Třemošná
Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
-
C.
Tuřany
Tuřany is a district of the Czech city of Brno, known for hosting the region’s main international airport.
-
D.
Huczwa
Huczwa is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
-
E.
Turośl
Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646b3ca08190b239f0736a01169d |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eb388488190a30866e9a7a0bc41 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:26 p.m.