Triple
T10583074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ἔρεβος |
E249782
|
entity |
| Predicate | typeOfDarkness |
P94766
|
FINISHED |
| Object | deep darkness |
—
|
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: deep darkness | Statement: [Ἔρεβος, typeOfDarkness, deep darkness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDarkness Context triple: [Ἔρεβος, typeOfDarkness, deep darkness]
-
A.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
B.
typeOfCharacter
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
C.
turnsToDarkSide
Indicates that an entity undergoes a moral or ideological shift to join or embrace an evil, antagonistic, or “dark” faction or philosophy.
-
D.
darkMatterDominated
Indicates that the system or region is primarily influenced or governed by dark matter rather than by ordinary (baryonic) matter.
-
E.
typeOfResistance
Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52767d2e0819099511e29e254bc34 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:39 p.m.