Triple
T19297637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Grande |
E482607
|
entity |
| Predicate | provinceCapital |
P16248
|
FINISHED |
| Object | Viedma |
E106861
|
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: Viedma | Statement: [Sierra Grande, provinceCapital, Viedma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viedma Context triple: [Sierra Grande, provinceCapital, Viedma]
-
A.
Viedma
chosen
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
-
B.
Võru
Võru is a small town in southeastern Estonia known for its lakeside setting, traditional Võro culture, and role as a regional administrative and cultural center.
-
C.
Pääsküla
Pääsküla is a subdistrict of the Nõmme district in Tallinn, Estonia, known for its residential areas and nearby natural landscapes.
-
D.
Jõhvi
Jõhvi is a town in northeastern Estonia that serves as the administrative center of Ida-Viru County.
-
E.
Kraainem
Kraainem is a Dutch- and French-speaking suburban municipality on the eastern edge of Brussels in the Flemish Brabant province of Belgium.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc86f8648190920d122bb141c6e5 |
completed | April 20, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07719a9afc81908d69dbdbdd90fb1e |
completed | May 15, 2026, 7:18 p.m. |
Created at: April 10, 2026, 1:31 p.m.