Triple
T16611432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shyriiwook |
E403577
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Trade Shyriiwook |
E403577
|
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: Trade Shyriiwook | Statement: [Shyriiwook, hasDialect, Trade Shyriiwook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trade Shyriiwook Context triple: [Shyriiwook, hasDialect, Trade Shyriiwook]
-
A.
Corellian smugglers
Corellian smugglers are illicit starship pilots and traders from the planet Corellia in the Star Wars universe, famed for their daring runs, fast ships, and roguish independence.
-
B.
Shyriiwook
chosen
Shyriiwook is the guttural, roaring language spoken by the Wookiee species in the Star Wars universe.
-
C.
Wastella
Wastella is a small unincorporated community located in Nolan County in West Texas.
-
D.
Tatooine Traders
Tatooine Traders is a Star Wars–themed gift shop at Disney's Hollywood Studios, offering merchandise inspired by the franchise near the Star Tours attraction.
-
E.
Toisanese
Toisanese is a Yue Chinese dialect spoken primarily by people from Taishan in Guangdong, historically influential among early Chinese diaspora communities in North America.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aca5c0819092637e0d83ce8ac0 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.