Triple
T16096372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashyyyk |
E390493
|
entity |
| Predicate | nativeSpecies |
P56480
|
FINISHED |
| Object |
Kashyyyk bantha
The Kashyyyk bantha is a Wookiee-world variant of the bantha species in Star Wars, adapted to the dense forests and unique ecosystems of the planet Kashyyyk.
|
E1193961
|
NE FINISHED |
How this triple was built (4 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: Kashyyyk bantha | Statement: [Kashyyyk, nativeSpecies, Kashyyyk bantha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kashyyyk bantha Context triple: [Kashyyyk, nativeSpecies, Kashyyyk bantha]
-
A.
Twi'lek
Twi'lek are a humanoid alien species from the Star Wars universe, recognizable by their colorful skin and distinctive head-tails called lekku.
-
B.
Yennadon
Yennadon is a residential neighbourhood within the city of Maple Ridge in British Columbia, Canada.
-
C.
Baiju
Baiju is an Indian-American entrepreneur best known as the co-founder of the stock trading platform Robinhood.
-
D.
Baiju
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
-
E.
Bantoid
Bantoid is a major branch of the Niger-Congo language family that includes the Bantu languages and several closely related non-Bantu groups spoken primarily in Central and West Africa.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kashyyyk bantha Triple: [Kashyyyk, nativeSpecies, Kashyyyk bantha]
Generated description
The Kashyyyk bantha is a Wookiee-world variant of the bantha species in Star Wars, adapted to the dense forests and unique ecosystems of the planet Kashyyyk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kashyyyk bantha Target entity description: The Kashyyyk bantha is a Wookiee-world variant of the bantha species in Star Wars, adapted to the dense forests and unique ecosystems of the planet Kashyyyk.
-
A.
Twi'lek
Twi'lek are a humanoid alien species from the Star Wars universe, recognizable by their colorful skin and distinctive head-tails called lekku.
-
B.
Yennadon
Yennadon is a residential neighbourhood within the city of Maple Ridge in British Columbia, Canada.
-
C.
Baiju
Baiju is an Indian-American entrepreneur best known as the co-founder of the stock trading platform Robinhood.
-
D.
Baiju
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
-
E.
Bantoid
Bantoid is a major branch of the Niger-Congo language family that includes the Bantu languages and several closely related non-Bantu groups spoken primarily in Central and West Africa.
- F. None of above. chosen
Provenance (5 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_69e18593d0fc8190aa3ba3edb4219aaa |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb991ba88190ad568a49069f9701 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec4898088190bed531e33418c7e5 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecce96508190a53f100e3207ebac |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 4:59 a.m.