Triple

T25957595
Position Surface form Disambiguated ID Type / Status
Subject national courts of Comoros E645446 entity
Predicate hasPart P35 FINISHED
Object Administrative Court of Comoros
The Administrative Court of Comoros is a specialized judicial body that adjudicates disputes involving public administration and the legality of government actions within the Comoros.
E1723637 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: Administrative Court of Comoros | Statement: [national courts of Comoros, hasPart, Administrative Court of Comoros]
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: Administrative Court of Comoros
Triple: [national courts of Comoros, hasPart, Administrative Court of Comoros]
Generated description
The Administrative Court of Comoros is a specialized judicial body that adjudicates disputes involving public administration and the legality of government actions within the Comoros.

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_69e77e85efc08190997da7fcf98bd300 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6049fb3cc8190838f62ac732da3f7 completed May 2, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae939d388190b1c703e36c0761e7 completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11af6832f08190ab2673c8502f0526 completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b0097edc81909327051db358c7b1 completed May 23, 2026, 1:47 p.m.
Created at: April 22, 2026, 8:46 a.m.