Triple
T201431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Serena |
E4512
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Juan Bohón |
E4512
|
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: Juan Bohón | Statement: [La Serena, founder, Juan Bohón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Bohón Context triple: [La Serena, founder, Juan Bohón]
-
A.
Juan Bohón
chosen
Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
-
B.
Tomas Arana
Tomas Arana is an American actor known for his supporting roles in films such as "Gladiator," "The Hunt for Red October," and "The Dark Knight Rises."
-
C.
Rafael Casanova
Rafael Casanova was a Catalan lawyer and politician who became a symbol of Catalan resistance for his leadership in the defense of Barcelona during the War of the Spanish Succession.
-
D.
Manuel Artime
Manuel Artime was a Cuban exile leader and CIA-backed organizer who became a prominent figure in anti-Castro activities, most notably as a key civilian leader of the Bay of Pigs invasion.
-
E.
Rafael Cerero
Rafael Cerero was a Spanish representative involved in the negotiations that concluded the Spanish–American War with the 1898 Treaty of Paris.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25be5a6d081909723b23a6361d6ea |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a389a9bb7c81909b60569e4c6074fb |
completed | March 1, 2026, 12:34 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.