Triple
T5769887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s Square |
E127304
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Belize City |
E23808
|
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: Belize City | Statement: [Queen’s Square, locatedIn, Belize City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belize City Context triple: [Queen’s Square, locatedIn, Belize City]
-
A.
Belize City
chosen
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.
-
B.
San Pedro Sula
San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
-
C.
Puerto Barrios
Puerto Barrios is a major Caribbean seaport city in eastern Guatemala that serves as an important commercial gateway for the country.
-
D.
Guatemala City
Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
-
E.
Tegucigalpa
Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029aa877c8190bf6a944f18cca3b8 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e61127c8190833e279403af6605 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.