Triple

T29236014
Position Surface form Disambiguated ID Type / Status
Subject Acts of Parliament of Zimbabwe E741195 entity
Predicate include P1393 FINISHED
Object Environmental Management Act
The Environmental Management Act is a key Zimbabwean law that provides the legal framework for environmental protection, sustainable natural resource use, and pollution control in the country.
E1855821 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: Environmental Management Act | Statement: [Acts of Parliament of Zimbabwe, include, Environmental Management Act]
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: Environmental Management Act
Triple: [Acts of Parliament of Zimbabwe, include, Environmental Management Act]
Generated description
The Environmental Management Act is a key Zimbabwean law that provides the legal framework for environmental protection, sustainable natural resource use, and pollution control in the country.

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_69f0911dd6fc819097d1abb287016489 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f664648f388190ae9988742d53bc89 completed May 2, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2569ddd3ec8190a4d5b70492bb3b99 completed June 7, 2026, 12:53 p.m.
NEDg Description generation batch_6a256e1a5a7481909bd3a9e3a719bba5 completed June 7, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a25720109c481908ee70d2bbeb32403 completed June 7, 2026, 1:28 p.m.
Created at: April 28, 2026, 12:29 p.m.