Triple
T9545053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wejherowo |
E230258
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Tukums |
E756081
|
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: Tukums | Statement: [Wejherowo, hasTwinTown, Tukums]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tukums Context triple: [Wejherowo, hasTwinTown, Tukums]
-
A.
Tukums
chosen
Tukums is a historic town in western Latvia known for its medieval heritage, role as a regional trade center, and proximity to the Gulf of Riga.
-
B.
Tuhelj
Tuhelj is a small municipality in northern Croatia known for its thermal spa resort and rural surroundings.
-
C.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
-
D.
Togninia
Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
-
E.
Tuineje
Tuineje is a coastal municipality on the island of Fuerteventura in Spain’s Canary Islands, known for its rural landscapes, beaches, and traditional Canarian culture.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9901f2bc8190a4076f5947660df9 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c6cd93c8190ac197afda780ce78 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.