Triple
T25271666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apodora papuana |
E633583
|
entity |
| Predicate | isNonvenomous |
P159736
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Apodora papuana, isNonvenomous, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonvenomous Context triple: [Apodora papuana, isNonvenomous, true]
-
A.
isColdBlooded
Indicates that the subject has a cold-blooded (ectothermic) physiology, relying on external sources to regulate body temperature.
-
B.
containsVenomousSpecies
Indicates that the referenced entity includes within it one or more species that are venomous.
-
C.
isConstrictor
Indicates that an entity has the characteristic of killing or subduing prey by constriction (coiling tightly around it).
-
D.
isFlightless
Indicates that the subject lacks the ability to fly, either naturally or due to specific conditions.
-
E.
doesNotFeedOn
Indicates that one entity does not use another entity as a source of food or nourishment.
- 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 1:16 p.m.