Triple
T17246737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Ogliastra |
E418644
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Seulo |
E1211805
|
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: Seulo | Statement: [Province of Ogliastra, contains, Seulo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seulo Context triple: [Province of Ogliastra, contains, Seulo]
-
A.
Seulo
chosen
Seulo is a small municipality in the mountainous interior of Sardinia, Italy, known for its natural landscapes and traditional Sardinian culture.
-
B.
Stolica
Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
-
C.
Oras
Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
-
D.
Ostan
Ostan was a historic city that served as the political and administrative center of the medieval Armenian region of Vaspurakan.
-
E.
Seoul
Seoul is the capital and largest metropolis of South Korea, known as a major global center for technology, culture, and finance.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e24a4508190bbcc70c36b2b9c13 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f744d8819099f10bbba364586d |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.