Triple
T10087629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyanerpes caeruleus |
E215260
|
entity |
| Predicate | nativeRange |
P4570
|
FINISHED |
| Object | Trinidad and Tobago |
E12048
|
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: Trinidad and Tobago | Statement: [Cyanerpes caeruleus, nativeRange, Trinidad and Tobago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trinidad and Tobago Context triple: [Cyanerpes caeruleus, nativeRange, Trinidad and Tobago]
-
A.
Trinidad and Tobago
chosen
Trinidad and Tobago is a twin-island Caribbean nation known for its rich cultural diversity, vibrant Carnival celebrations, and significant oil and natural gas resources.
-
B.
Barbados
Barbados is an island country in the Caribbean known for its beaches, coral reefs, and status as a popular tourist destination.
-
C.
Antigua and Barbuda
Antigua and Barbuda is a small Caribbean island nation known for its tourism-driven economy, coral reefs, and numerous white-sand beaches.
-
D.
Jamaica
Jamaica is a station on Mexico City’s metro system, serving as a key transfer point between multiple lines near the city’s central market area.
-
E.
Jamaica
Jamaica is a Caribbean island nation known for its vibrant culture, reggae music, and tropical landscapes.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04875748190a81d1e9ad68dda96 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e583ec2c819086429bd6d323d780 |
completed | April 5, 2026, 10:43 p.m. |
Created at: March 30, 2026, 9:01 p.m.