Triple
T36147605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelson’s milksnake |
E1045493
|
entity |
| Predicate | isNonvenomousMimicOf |
P184753
|
FINISHED |
| Object | venomous coral snakes |
—
|
LITERAL 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: venomous coral snakes | Statement: [Nelson’s milksnake, isNonvenomousMimicOf, venomous coral snakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonvenomousMimicOf Context triple: [Nelson’s milksnake, isNonvenomousMimicOf, venomous coral snakes]
-
A.
isNonvenomous
Indicates that an organism does not produce or deliver venom and therefore lacks venomous capabilities.
-
B.
isConstrictor
Indicates that an entity has the characteristic of killing or subduing prey by constriction (coiling tightly around it).
-
C.
venomDeliverySystem
Indicates the mechanism or method by which venom is produced, stored, and transferred from one organism to another.
-
D.
isColdBlooded
Indicates that the subject has a cold-blooded (ectothermic) physiology, relying on external sources to regulate body temperature.
-
E.
containsVenomousSpecies
Indicates that the referenced entity includes within it one or more species that are venomous.
- F. None of above. chosen
Provenance (4 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b3e0f1c88190985feab6cee8b05e |
completed | May 3, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.