Triple
T28495632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachyglossidae |
E721099
|
entity |
| Predicate | hasElectroreception |
P81228
|
FINISHED |
| Object | present in snout |
—
|
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: present in snout | Statement: [Tachyglossidae, hasElectroreception, present in snout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectroreception Context triple: [Tachyglossidae, hasElectroreception, present in snout]
-
A.
usesElectroreceptionFor
Indicates that an entity detects and interprets electrical fields in its environment specifically for the associated purpose or activity.
-
B.
usesEcholocation
Indicates that an entity employs echolocation, using reflected sound waves to detect, locate, or navigate around objects or other entities.
-
C.
hasSensoryOrgans
Indicates that an entity possesses organs specialized for sensing or perceiving stimuli from its environment.
-
D.
hasSensation
Indicates that an entity experiences or is subject to a particular sensory or perceptual feeling.
-
E.
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.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 28, 2026, 3:03 a.m.