Triple
T20137750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lääne County |
E491067
|
entity |
| Predicate | hasTourismAttraction |
P5121
|
FINISHED |
| Object | Haapsalu old town |
—
|
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: Haapsalu old town | Statement: [Lääne County, hasTourismAttraction, Haapsalu old town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haapsalu old town Context triple: [Lääne County, hasTourismAttraction, Haapsalu old town]
-
A.
Haapsalu
chosen
Haapsalu is a small seaside town in western Estonia known for its historic wooden architecture, medieval castle, and traditional seaside resort and spa culture.
-
B.
Old Town of Raahe
Old Town of Raahe is a well-preserved historic wooden town center in Raahe, Finland, known for its 19th-century coastal architecture and traditional urban layout.
-
C.
Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
-
D.
Maardu
Maardu is an industrial town in northern Estonia, located just east of the capital Tallinn in Harju County.
-
E.
Pärnu
Pärnu is a coastal city in southwestern Estonia known as a popular summer resort and spa destination on the Baltic Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676879f48190a59da04393d2a8cc |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.