Triple
T17477230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricinulei |
E425570
|
entity |
| Predicate | adultStageCharacteristic |
P127605
|
FINISHED |
| Object | adults have four pairs of legs |
—
|
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: adults have four pairs of legs | Statement: [Ricinulei, adultStageCharacteristic, adults have four pairs of legs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adultStageCharacteristic Context triple: [Ricinulei, adultStageCharacteristic, adults have four pairs of legs]
-
A.
adultRole
Indicates that an entity fulfills an adult-specific role or responsibility in relation to another entity or context.
-
B.
adultForm
Indicates that one entity is the mature or fully developed form of another entity.
-
C.
lifeStage
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
-
D.
isAdultCharacter
Indicates that a character has reached adulthood, typically meeting the age or maturity criteria defining an adult within the given context.
-
E.
ageBased
Indicates a relationship or condition that depends on or is determined by the age of the entities involved.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bc3f908190b2c7a2d1f75a43f2 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:47 a.m.