Triple
T30139256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loxigilla |
E766080
|
entity |
| Predicate | vernacularName |
P3437
|
FINISHED |
| Object |
Caribbean bullfinches
Caribbean bullfinches are small, stout-billed passerine birds native to the Caribbean islands, known for their seed-eating habits and sexually dimorphic plumage.
|
E1904230
|
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: Caribbean bullfinches | Statement: [Loxigilla, vernacularName, Caribbean bullfinches]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Caribbean bullfinches Triple: [Loxigilla, vernacularName, Caribbean bullfinches]
Generated description
Caribbean bullfinches are small, stout-billed passerine birds native to the Caribbean islands, known for their seed-eating habits and sexually dimorphic plumage.
Provenance (5 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e86d38c8190a100b82da345b6ca |
completed | May 2, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27584663988190b7f6a12e81e18031 |
completed | June 9, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_6a275a7d33848190ba11aeb45c7e8b83 |
completed | June 9, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a275b11987081908ec648ce1eeceed3 |
completed | June 9, 2026, 12:15 a.m. |
Created at: April 29, 2026, 7:17 p.m.