Triple
T24497445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botanical Garden of the Institute of Biology (UNAM) |
E617831
|
entity |
| Predicate | primaryFocus |
P31
|
FINISHED |
| Object | botanical research |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: botanical research | Statement: [Botanical Garden of the Institute of Biology (UNAM), primaryFocus, botanical research]
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_69e2d7f682108190a1a7ca5fd485ee8a |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a7fa1a088190800b1303ee07c1d0 |
completed | April 30, 2026, 12:53 a.m. |
Created at: April 18, 2026, 2:22 a.m.