Triple
T1054071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burmese python |
E22761
|
entity |
| Predicate | commonName |
P570
|
FINISHED |
| Object | Burmese python |
E22761
|
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: Burmese python | Statement: [Burmese python, commonName, Burmese python]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burmese python Context triple: [Burmese python, commonName, Burmese python]
-
A.
Burmese python
chosen
The Burmese python is a large, nonvenomous constrictor snake native to Southeast Asia that has become a highly destructive invasive species in the Florida Everglades.
-
B.
Nile crocodile
The Nile crocodile is a large and aggressive African crocodilian known for inhabiting rivers, lakes, and wetlands and being one of the continent’s most formidable predators.
-
C.
Colubrina
Colubrina is a genus of flowering shrubs and small trees known for their hard wood and occurrence in tropical and subtropical regions.
-
D.
Boas
Boas is a surname most prominently associated with Franz Boas, the pioneering anthropologist often regarded as the father of American anthropology.
-
E.
Gila monster
The Gila monster is a large, slow-moving venomous lizard native to the arid regions of the southwestern United States and northwestern Mexico.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bcf04448190af136ca4f037547b |
completed | March 7, 2026, 2:53 p.m. |
Created at: March 1, 2026, 7:42 p.m.