Triple

T37409424
Position Surface form Disambiguated ID Type / Status
Subject Twi'lek E929521 entity
Predicate notablePlanetaryRegion P123531 FINISHED
Object Ryloth twilight band
The Ryloth twilight band is a harsh, narrow region on the Twi'lek homeworld where the planet’s tidally locked day and night sides meet, creating a perpetual zone of dim light and extreme environmental conditions.
E2225807 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: Ryloth twilight band | Statement: [Twi'lek, notablePlanetaryRegion, Ryloth twilight band]
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: Ryloth twilight band
Triple: [Twi'lek, notablePlanetaryRegion, Ryloth twilight band]
Generated description
The Ryloth twilight band is a harsh, narrow region on the Twi'lek homeworld where the planet’s tidally locked day and night sides meet, creating a perpetual zone of dim light and extreme environmental conditions.

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_69f76ebde49481908566cd96b37ccc84 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a03809cd8cc8190a0b502998be65a15 completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40770fdca08190b095bfb96b9abd26 completed June 28, 2026, 1:21 a.m.
NEDg Description generation batch_6a407841ee948190b45372dab14ea45f completed June 28, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a40791d378481909dca7bf882554482 completed June 28, 2026, 1:30 a.m.
Created at: May 3, 2026, 4:16 p.m.