Triple
T4176791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skaro |
E86495
|
entity |
| Predicate | starSystem |
P18291
|
FINISHED |
| Object | Skaro system |
E86495
|
NE 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: Skaro system | Statement: [Skaro, starSystem, Skaro system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skaro system Context triple: [Skaro, starSystem, Skaro system]
-
A.
Skaro
chosen
Skaro is the fictional, war-ravaged planet in the Doctor Who universe that serves as the birthplace and primary setting of the Daleks.
-
B.
Caladan
Caladan is the oceanic homeworld of House Atreides in the Dune universe, known for its rainy climate, lush landscapes, and stark contrast to the desert planet Arrakis.
-
C.
Sera
Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
-
D.
Giedi Prime
Giedi Prime is the heavily industrialized, polluted homeworld of House Harkonnen in the Dune universe, known for its harsh environment and oppressive society.
-
E.
Terrigal
Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02eaa0d08190a3b805c64ef76a0c |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589f2d7988190b59f0f119f66c046 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:45 p.m.