Triple
T29322383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Pit of Carkoon |
E743546
|
entity |
| Predicate | primarySpeciesPresent |
P965
|
FINISHED |
| Object | sarlacc |
—
|
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: sarlacc | Statement: [Great Pit of Carkoon, primarySpeciesPresent, sarlacc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySpeciesPresent Context triple: [Great Pit of Carkoon, primarySpeciesPresent, sarlacc]
-
A.
primaryAISpecies
Indicates that one species is the main or dominant species associated with a particular AI system or AI-related context.
-
B.
primaryBreedingSpecies
Indicates that one species serves as the main or predominant breeding partner or host in relation to another species.
-
C.
mainPreySpecies
Indicates the species that serves as the primary prey or main food source for a given predator.
-
D.
hasDominantSpecies
Indicates that one entity possesses or is characterized by a species that is predominant or most influential within it.
-
E.
notableSpecies
chosen
Indicates that the subject is known for, or significantly associated with, the specified 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a0117b6539c8190be7d231e891fe546 |
completed | May 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_6a011762f7ec8190afc884b92419d33f |
completed | May 10, 2026, 11:40 p.m. |
Created at: April 28, 2026, 1:24 p.m.