Triple
T7371153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malleco River |
E170006
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Collipulli |
E505049
|
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: Collipulli | Statement: [Malleco River, near, Collipulli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collipulli Context triple: [Malleco River, near, Collipulli]
-
A.
Collipulli
chosen
Collipulli is a town and commune in Chile’s Araucanía Region, known historically for its railway viaduct and its role in regional agriculture and forestry.
-
B.
Zebilla
Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
-
C.
Collip
Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
-
D.
Coppins
Coppins is a historic country house and former royal residence located in Iver, Buckinghamshire, England.
-
E.
Pugo
Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
- 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.