Triple
T3653730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epigonichthys |
E77479
|
entity |
| Predicate | hasSensoryOrgans |
P50711
|
FINISHED |
| Object | simple sensory structures |
—
|
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: simple sensory structures | Statement: [Epigonichthys, hasSensoryOrgans, simple sensory structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSensoryOrgans Context triple: [Epigonichthys, hasSensoryOrgans, simple sensory structures]
-
A.
hasSpecializedOrgan
Indicates that an entity possesses a distinct organ adapted for a particular specialized function or role.
-
B.
sensorySystem
Indicates that one entity functions as the sensory system (or part of it) of another, enabling the detection and processing of internal or external stimuli.
-
C.
hasAntennae
Indicates that one entity possesses or is equipped with antennae as a physical feature.
-
D.
hasNervousSystem
Indicates that an entity possesses a nervous system as a biological feature.
-
E.
hasEyes
Indicates that an entity possesses eyes as physical features.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b9164c81908938a4338430d193 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adbae14d488190a6024548979c6faf |
completed | March 8, 2026, 6:07 p.m. |
Created at: March 8, 2026, 3:24 p.m.