Triple
T16491889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanaja |
E400586
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Bonacca |
E1216624
|
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: Bonacca | Statement: [Guanaja, hasCommunity, Bonacca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonacca Context triple: [Guanaja, hasCommunity, Bonacca]
-
A.
Bonacca
chosen
Bonacca is the main town and population center on the Caribbean island of Guanaja in Honduras.
-
B.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
C.
Farinola
Farinola is an Italian surname, notably borne by American traditional pop and big band singer Vic Damone, who was born Vito Rocco Farinola.
-
D.
Buccari
Buccari is a coastal town in Croatia, historically significant enough to lend its name to the noble title "Countess of Cortellazzo and Buccari."
-
E.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e300a248190a3d4ca96a0a176cf |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607cbc80819088505d8bdd663109 |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:13 a.m.