Triple

T29190097
Position Surface form Disambiguated ID Type / Status
Subject Theed E739966 entity
Predicate notableEvent P259 FINISHED
Object Battle of Theed
The Battle of Theed was a pivotal conflict during the Naboo Crisis in Star Wars, where Queen Amidala, the Gungans, and Jedi allies fought to liberate the city of Theed from the Trade Federation’s occupation.
E1880013 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: Battle of Theed | Statement: [Theed, notableEvent, Battle of Theed]
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: Battle of Theed
Triple: [Theed, notableEvent, Battle of Theed]
Generated description
The Battle of Theed was a pivotal conflict during the Naboo Crisis in Star Wars, where Queen Amidala, the Gungans, and Jedi allies fought to liberate the city of Theed from the Trade Federation’s occupation.

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_69f07cb8033c8190b8807e219a14333d completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6638aa68c8190a02fd50ecd5a96fd completed May 2, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a267e939ee88190bb3572a603b5571d completed June 8, 2026, 8:34 a.m.
NEDg Description generation batch_6a26897ca98481908b79e5d92ec24714 completed June 8, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_6a268d4658cc8190b80c1390b8763960 completed June 8, 2026, 9:37 a.m.
Created at: April 28, 2026, 12:01 p.m.