Triple
T732339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belize |
E14857
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Belmopan |
E85942
|
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: Belmopan | Statement: [Belize, hasMajorCity, Belmopan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belmopan Context triple: [Belize, hasMajorCity, Belmopan]
-
A.
Belmopan
chosen
Belmopan is the planned inland city that serves as the political and administrative center of Belize.
-
B.
Belize City
Belize City is the largest city and former capital of Belize, serving as the country's main commercial and cultural hub on the Caribbean coast.
-
C.
Guatemala City
Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
-
D.
Georgetown
Georgetown is the small administrative and service hub of Ascension Island, hosting its main government, port, and residential facilities.
-
E.
Georgetown
Georgetown is a historic and affluent Washington, D.C. neighborhood known for its cobblestone streets, waterfront, upscale shops, and Georgetown University.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5d5a6b48190a2c81bfc3c6faa25 |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e1d10c8190b69b30cc70add604 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.