Triple
T21873004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schindleria praematurus |
E540054
|
entity |
| Predicate | developmentalTrait |
P145997
|
FINISHED |
| Object | neotenic |
—
|
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: neotenic | Statement: [Schindleria praematurus, developmentalTrait, neotenic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developmentalTrait Context triple: [Schindleria praematurus, developmentalTrait, neotenic]
-
A.
developedTrait
Indicates that an entity has acquired or evolved a particular characteristic, quality, or feature over time.
-
B.
developmentalFor
Indicates that one entity serves as a developmental precursor, stage, or necessary condition for the emergence or maturation of another entity.
-
C.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
D.
childCharacterTrait
Indicates that a child possesses or exhibits a particular character trait.
-
E.
studiesTrait
Indicates that one entity conducts research or examination focused on a particular trait or characteristic of another entity.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f337ab5c8190937a457d348c732b |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 7:01 p.m.