Triple
T30330725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dathomir |
E771468
|
entity |
| Predicate | notableCreatures |
P91594
|
FINISHED |
| Object | rancors |
—
|
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: rancors | Statement: [Dathomir, notableCreatures, rancors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCreatures Context triple: [Dathomir, notableCreatures, rancors]
-
A.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
B.
notableCreatureStudied
Indicates that a particular creature has been the subject of significant study or research by the referenced entity.
-
C.
notableSpeciesGroup
Indicates that an entity is a significant or characteristic member of a particular species group associated with another entity.
-
D.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
-
E.
notableFaunaRegion
chosen
Indicates that a region is known for or characteristically associated with particular notable animal species.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:53 p.m.