Triple
T7552853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caleta de Sebo |
E178578
|
entity |
| Predicate | connectedByFerryTo |
P1831
|
FINISHED |
| Object | Órzola |
E210766
|
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: Órzola | Statement: [Caleta de Sebo, connectedByFerryTo, Órzola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Órzola Context triple: [Caleta de Sebo, connectedByFerryTo, Órzola]
-
A.
Orzola
chosen
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
B.
Orzysz
Orzysz is a small town in northeastern Poland known for its lakeside setting and proximity to extensive forests and military training grounds.
-
C.
Sokół
Sokół is a Polish rapper, songwriter, and music producer known as one of the most influential figures in Poland’s hip-hop scene.
-
D.
Ełk
Ełk is a town in northeastern Poland known for its lakeside setting and role as a local economic and cultural center.
-
E.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b8165481908285fc9697fe4c99 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f33c968819089fd0a2b07b076a3 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.