Triple
T7078617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosk region |
E164886
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Skrapar |
E640945
|
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: Skrapar | Statement: [Tosk region, hasCity, Skrapar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skrapar Context triple: [Tosk region, hasCity, Skrapar]
-
A.
Skrapar
chosen
Skrapar is a mountainous municipality in southern Albania, known for its dramatic canyons, caves, and traditional villages within the Tosk cultural region.
-
B.
Greppin
Greppin is a former municipality in Saxony-Anhalt, Germany, that became part of the town of Bitterfeld-Wolfen through an administrative merger.
-
C.
Tappin
Tappin is a professional collaborator or business partner associated with Joseph Reed.
-
D.
Skyss
Skyss is the public transport authority for Vestland county in Norway, responsible for coordinating bus, light rail, and some ferry services in the Bergen region.
-
E.
Scaniarinken
Scaniarinken is a multi-purpose indoor arena in Södertälje, Sweden, best known as the home venue for the ice hockey club Södertälje SK.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ef47d48190b31125d1b57f7bec |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c8ca5a48190bbfbf640fb1f778d |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:40 p.m.