Triple
T16611511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mallatobuck |
E403579
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | 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: Shyriiwook | Statement: [Mallatobuck, language, Shyriiwook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shyriiwook Context triple: [Mallatobuck, language, Shyriiwook]
-
A.
Shyriiwook
chosen
Shyriiwook is the guttural, roaring language spoken by the Wookiee species in the Star Wars universe.
-
B.
Nugaal
Nugaal is a region in northeastern Somalia known for its arid landscape and pastoralist communities.
-
C.
Zabrak
Zabrak are a horned, often facially tattooed humanoid species from the Star Wars universe, known for their resilience, strong will, and notable dark-side Force users like Darth Maul.
-
D.
Neytiri
Neytiri is a skilled Na'vi warrior and princess of the Omaticaya clan who becomes Jake Sully's guide and love interest in the film "Avatar."
-
E.
Yaviza
Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
- 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_6a007dad10ec8190b41d82b38fcd4dae |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.