Triple
T7371168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malleco River |
E170006
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Angol |
E505048
|
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: Angol | Statement: [Malleco River, near, Angol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angol Context triple: [Malleco River, near, Angol]
-
A.
Angol
chosen
Angol is a city in southern Chile known as an important commercial and administrative center in the Araucanía Region.
-
B.
Angolalla
Angolalla is a historic town in central Ethiopia known as the birthplace of Emperor Menelik II.
-
C.
Ingiloys
Ingiloys are a small indigenous Georgian-speaking ethnic group traditionally inhabiting the Zakatala region of present-day Azerbaijan, known for their unique blend of Georgian and Azerbaijani cultural and religious influences.
-
D.
England
England is a country within the United Kingdom, known for its rich history, cultural influence, and major cities such as London and Manchester.
-
E.
Bretanha
Bretanha is a civil parish on the island of São Miguel in the Azores, Portugal, known for its coastal scenery and traditional rural character.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f182df5c81908964fbaa3f8ec790 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802c711788190806987567dbc9942 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.