Triple
T16096392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashyyyk |
E390493
|
entity |
| Predicate | occupationHistory |
P45108
|
FINISHED |
| Object | occupied by the Galactic Empire |
—
|
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: occupied by the Galactic Empire | Statement: [Kashyyyk, occupationHistory, occupied by the Galactic Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationHistory Context triple: [Kashyyyk, occupationHistory, occupied by the Galactic Empire]
-
A.
hasPastOccupation
Indicates that an entity previously held a particular job, role, or occupation in the past.
-
B.
affiliationHistory
chosen
Indicates a historical record of an entity’s past and present organizational or group affiliations, including when and how those affiliations changed over time.
-
C.
historicalOccupationPattern
Indicates a recurring or characteristic pattern in the occupations held by an entity or its members over historical periods.
-
D.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
E.
memberLaterOccupation
Indicates that an individual later held a particular occupation or position after an earlier point in time or role.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.