Triple
T4196904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meliae |
E89174
|
entity |
| Predicate | linkedMotif |
P33019
|
FINISHED |
| Object | origin of mortal races |
—
|
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: origin of mortal races | Statement: [Meliae, linkedMotif, origin of mortal races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedMotif Context triple: [Meliae, linkedMotif, origin of mortal races]
-
A.
featuresMotif
Indicates that something contains, incorporates, or prominently includes a particular recurring motif or pattern.
-
B.
reverseMotif
Indicates that one motif is the reversed or inverted form of another motif in structure, order, or direction.
-
C.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
D.
sharesMotifsWith
chosen
Indicates that two entities contain or employ similar recurring themes, patterns, or symbolic elements.
-
E.
linkedPosition
Indicates that one position is associated or connected to another position in a defined way.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af035f9f788190a4bcfeda646fbebf |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:46 p.m.