Triple
T16096355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashyyyk |
E390493
|
entity |
| Predicate | notableFlora |
P965
|
FINISHED |
| Object |
wroshyr trees
Wroshyr trees are colossal, ancient trees native to the Wookiee homeworld of Kashyyyk, forming vast vertical forests that house entire Wookiee cities high in their branches.
|
E1193957
|
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: wroshyr trees | Statement: [Kashyyyk, notableFlora, wroshyr trees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: wroshyr trees Context triple: [Kashyyyk, notableFlora, wroshyr trees]
-
A.
Treene
The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
-
B.
Quina tree
The Quina tree is a South American tree historically prized for its bark, which is the natural source of quinine used to treat malaria.
-
C.
Tanne
Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
-
D.
Hollytrees
Hollytrees is a historic Georgian townhouse in Colchester, England, that now serves as a museum of local history and domestic life.
-
E.
Arbore
Arbore is a Cushitic language spoken by the Arbore people of southern Ethiopia.
- 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: wroshyr trees Triple: [Kashyyyk, notableFlora, wroshyr trees]
Generated description
Wroshyr trees are colossal, ancient trees native to the Wookiee homeworld of Kashyyyk, forming vast vertical forests that house entire Wookiee cities high in their branches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: wroshyr trees Target entity description: Wroshyr trees are colossal, ancient trees native to the Wookiee homeworld of Kashyyyk, forming vast vertical forests that house entire Wookiee cities high in their branches.
-
A.
Treene
The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
-
B.
Quina tree
The Quina tree is a South American tree historically prized for its bark, which is the natural source of quinine used to treat malaria.
-
C.
Tanne
Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
-
D.
Hollytrees
Hollytrees is a historic Georgian townhouse in Colchester, England, that now serves as a museum of local history and domestic life.
-
E.
Arbore
Arbore is a Cushitic language spoken by the Arbore people of southern Ethiopia.
- 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.