Triple
T778777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicaragua |
E16448
|
entity |
| Predicate | hasVolcano |
P6356
|
FINISHED |
| Object | Masaya |
E87318
|
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: Masaya | Statement: [Nicaragua, hasVolcano, Masaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masaya Context triple: [Nicaragua, hasVolcano, Masaya]
-
A.
Turrialba
Turrialba is an active stratovolcano in central Costa Rica known for its frequent eruptions and significant gas and ash emissions.
-
B.
Masaya, Nicaragua
chosen
Masaya is a city in western Nicaragua known for its active Masaya Volcano, traditional handicrafts, and vibrant cultural festivals.
-
C.
San Salvador Volcano
San Salvador Volcano is a prominent stratovolcano in El Salvador that looms over the capital city and is known for its scenic crater and history of eruptions.
-
D.
Arenal
Arenal is a prominent stratovolcano in northwestern Costa Rica, famed for its near-perfect conical shape and role as a major eco-tourism and geothermal energy site.
-
E.
Volcán Tajumulco
Volcán Tajumulco is a stratovolcano in western Guatemala that stands as the highest peak in Central 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74f886081909c27b786e3adbe32 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67efa8dd481909097c551bf3a61dc |
completed | March 3, 2026, 6:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.