Triple
T19166680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Lota |
E469202
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | city of Lota |
—
|
NE NERFINISHED |
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: city of Lota | Statement: [Port of Lota, serves, city of Lota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Lota Context triple: [Port of Lota, serves, city of Lota]
-
A.
city of Lota
chosen
The city of Lota is a historic Chilean coal-mining town on the Pacific coast in the Biobío Region.
-
B.
Municipality of Lota
The Municipality of Lota is the local government authority responsible for administering public services, urban planning, and community development in the city and commune of Lota, Chile.
-
C.
Lota
Lota is the panther-woman character from the 1932 horror film "Island of Lost Souls," portrayed by actress Kathleen Burke.
-
D.
Lota
Lota is a coastal city in southern Chile known historically for its coal mining industry and maritime heritage.
-
E.
City of Los Vilos
The City of Los Vilos is a coastal urban center in Chile known for its fishing activities, beaches, and role as a local commercial hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16035b481908667a4415a1a63c9 |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.