Triple
T35690790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gentes system |
E1031283
|
entity |
| Predicate | sentientSpeciesOrigin |
P183825
|
FINISHED |
| Object | Ugnaughts |
—
|
NE NERFINISHED |
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: Ugnaughts | Statement: [Gentes system, sentientSpeciesOrigin, Ugnaughts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentientSpeciesOrigin Context triple: [Gentes system, sentientSpeciesOrigin, Ugnaughts]
-
A.
originSpecies
Indicates that one entity is the original or source species from which another entity is derived, evolved, or produced.
-
B.
alienSpecies
Indicates that one entity is a species that is foreign or not native to the other entity’s environment, context, or origin.
-
C.
alienSpeciesName
Indicates that an entity is identified by the proper name of an alien species.
-
D.
fictionalSpecies
Indicates that the subject is a species that exists only in fiction or imaginary works, rather than in real life.
-
E.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.