Triple
T14549716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herkulesbad |
E341382
|
entity |
| Predicate | hasHungarianName |
P27628
|
FINISHED |
| Object | Herkulesfürdő |
E400342
|
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: Herkulesfürdő | Statement: [Herkulesbad, hasHungarianName, Herkulesfürdő]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herkulesfürdő Context triple: [Herkulesbad, hasHungarianName, Herkulesfürdő]
-
A.
Furna
Furna is a coastal settlement on the Cape Verdean island of Brava that serves as its main maritime gateway and ferry port.
-
B.
Furna
Furna is a small Swiss mountain municipality located in the canton of Graubünden.
-
C.
Baturité
Baturité is a municipality in the state of Ceará in northeastern Brazil, known for its mountainous terrain and relatively mild climate.
-
D.
Tamina thermal spring
chosen
Tamina thermal spring is a renowned natural hot spring in the Tamina Gorge near Bad Ragaz, Switzerland, famous for its warm, mineral-rich waters used for spa and therapeutic treatments.
-
E.
Fieberbrunn
Fieberbrunn is an Austrian alpine village and ski resort renowned for its freeride terrain and access to the Kitzbühel Alps.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ed2b4c8190945bd26531c71f1f |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a6344b08190a3c1124c6dd7da96 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:23 a.m.