Triple
T15386096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maz Kanata |
E367918
|
entity |
| Predicate | homeworld |
P2102
|
FINISHED |
| Object |
Takodana
Takodana is a lush, forested planet in the Star Wars universe known for hosting Maz Kanata’s ancient castle and serving as a neutral haven for travelers and smugglers.
|
E1154693
|
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: Takodana | Statement: [Maz Kanata, homeworld, Takodana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takodana Context triple: [Maz Kanata, homeworld, Takodana]
-
A.
Yokotʼan
Yokotʼan is a Mayan language spoken by the Chontal people of Tabasco in southeastern Mexico.
-
B.
Bon Ton
Bon Ton is an 18th-century comedic play by English actor-playwright David Garrick that satirizes the manners and affectations of high society.
-
C.
Ktaadn
Ktaadn (commonly spelled Katahdin) is the highest mountain in Maine and a prominent wilderness peak famed for its rugged terrain and role as the northern terminus of the Appalachian Trail.
-
D.
Kapooka
Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
-
E.
Tarouca
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
- 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: Takodana Triple: [Maz Kanata, homeworld, Takodana]
Generated description
Takodana is a lush, forested planet in the Star Wars universe known for hosting Maz Kanata’s ancient castle and serving as a neutral haven for travelers and smugglers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takodana Target entity description: Takodana is a lush, forested planet in the Star Wars universe known for hosting Maz Kanata’s ancient castle and serving as a neutral haven for travelers and smugglers.
-
A.
Yokotʼan
Yokotʼan is a Mayan language spoken by the Chontal people of Tabasco in southeastern Mexico.
-
B.
Bon Ton
Bon Ton is an 18th-century comedic play by English actor-playwright David Garrick that satirizes the manners and affectations of high society.
-
C.
Ktaadn
Ktaadn (commonly spelled Katahdin) is the highest mountain in Maine and a prominent wilderness peak famed for its rugged terrain and role as the northern terminus of the Appalachian Trail.
-
D.
Kapooka
Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
-
E.
Tarouca
Tarouca is a municipality in Portugal’s Douro region, known for its historic monasteries, vineyards, and scenic river valley landscapes.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e74ff70819094c1a85f51d6e228 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1349bad48190a31c50a0c5104128 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:19 a.m.