Triple
T18129783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiscapa Lagoon |
E433978
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Managua city center |
—
|
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: Managua city center | Statement: [Tiscapa Lagoon, near, Managua city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Managua city center Context triple: [Tiscapa Lagoon, near, Managua city center]
-
A.
Managua
Managua is the capital and largest city of Nicaragua, located on the southwestern shore of Lake Managua in Central America.
-
B.
downtown Managua
chosen
Downtown Managua is the central urban and commercial district of Nicaragua’s capital city, serving as a hub for government, business, and cultural activity.
-
C.
Managua International Airport
Managua International Airport is the former name of Augusto C. Sandino International Airport, the main international gateway serving Managua, the capital city of Nicaragua.
-
D.
Matagalpa
Matagalpa is a major city in north-central Nicaragua known for its coffee production, cool climate, and role as a regional commercial and educational hub.
-
E.
Estelí
Estelí is a city in northern Nicaragua known for its tobacco production, cigar industry, and role as a commercial and cultural center in the region.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf11a74819094e8fe8dae4615bb |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.