Triple
T19166689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Lota |
E469202
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Coronel |
—
|
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: Coronel | Statement: [Port of Lota, locatedNear, Coronel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coronel Context triple: [Port of Lota, locatedNear, Coronel]
-
A.
Coronel
chosen
Coronel is a coastal city in south-central Chile known for its historic coal-mining industry and fishing activities along the Pacific Ocean.
-
B.
Almirante
Almirante is a coastal town in Panama known as a key port and transport hub in the Bocas del Toro region.
-
C.
Ant of Cervera
Ant of Cervera is the nickname of Spanish motorcycle racer Marc Márquez, a multiple MotoGP world champion known for his aggressive riding style and dominance in the sport.
-
D.
Le Capitan
Le Capitan is a 1960 French swashbuckling adventure film, based on a novel by Michel Zévaco, in which Jean Marais stars as a valiant swordsman in 17th-century France.
-
E.
Capitaine Villanueva
Capitaine Villanueva is a pirate lord of the Brethren Court in the Pirates of the Caribbean universe.
- 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.