Triple
T9541850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malapteruridae |
E230175
|
entity |
| Predicate | hasNervousSystemAdaptation |
P81228
|
FINISHED |
| Object | specialized electroreceptors |
—
|
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: specialized electroreceptors | Statement: [Malapteruridae, hasNervousSystemAdaptation, specialized electroreceptors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNervousSystemAdaptation Context triple: [Malapteruridae, hasNervousSystemAdaptation, specialized electroreceptors]
-
A.
hasNervousSystem
Indicates that an entity possesses a nervous system as a biological feature.
-
B.
hasHumanAdaptation
Indicates that something has been modified, designed, or adjusted specifically to suit human use, abilities, or needs.
-
C.
hasSensoryAdaptation
chosen
Indicates that an entity possesses a specialized sensory modification or adjustment that enhances its ability to detect, process, or respond to environmental stimuli.
-
D.
hasSpecializedOrgan
Indicates that an entity possesses a distinct organ adapted for a particular specialized function or role.
-
E.
hasSensoryOrgans
Indicates that an entity possesses organs specialized for sensing or perceiving stimuli from its environment.
- F. None of above.
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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e82bb08190aed3ed0627923d22 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:01 p.m.