Triple

T25813377
Position Surface form Disambiguated ID Type / Status
Subject Judiciary of Haiti E650180 entity
Predicate includes P1393 FINISHED
Object Courts of Appeal of Haiti
The Courts of Appeal of Haiti are intermediate appellate courts that review decisions from lower courts and help ensure the uniform application of law within the Haitian judicial system.
 E1706270 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: Courts of Appeal of Haiti | Statement: [Judiciary of Haiti, includes, Courts of Appeal of Haiti]
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: Courts of Appeal of Haiti
Triple: [Judiciary of Haiti, includes, Courts of Appeal of Haiti]
Generated description
The Courts of Appeal of Haiti are intermediate appellate courts that review decisions from lower courts and help ensure the uniform application of law within the Haitian judicial system.

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_69e7ab35d264819095367f7e80c983ff completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f600c77d908190bb418cdbc891bd65 completed May 2, 2026, 1:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111af363108190bb3d7e64871534e0 completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111b6fc7488190807f064856257f87 completed May 23, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a111bdcd8508190a8a72064dddf5463 completed May 23, 2026, 3:15 a.m.
Created at: April 22, 2026, 7:12 a.m.