Triple
T17195667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosquito Coast |
E417343
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | La Ceiba |
E95830
|
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: La Ceiba | Statement: [Mosquito Coast, hasSettlement, La Ceiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Ceiba Context triple: [Mosquito Coast, hasSettlement, La Ceiba]
-
A.
La Ceiba
chosen
La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
-
B.
La Selva
La Selva is a comarca (county) in the southern part of the Province of Girona in Catalonia, Spain, known for its mix of coastal resorts on the Costa Brava and inland forests and thermal spa towns.
-
C.
Ceiba
Ceiba is a coastal municipality in eastern Puerto Rico known for its former naval base and proximity to the islands of Vieques and Culebra.
-
D.
Ceiba
Ceiba is a genus of large tropical trees, including the iconic kapok tree, known for their towering trunks, buttress roots, and ecological and cultural importance in tropical America and West Africa.
-
E.
Guana
Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42da9e6208190b5c4e5925e840217 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd5f834819080ad2a2ffdc017b6 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.