Triple

T37525357
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Trade and Industry of Ghana E932892 entity
Predicate collaboratesWith P37 FINISHED
Object Association of Ghana Industries
The Association of Ghana Industries is a leading business organization representing and advocating for the interests of manufacturing and industrial companies in Ghana.
E2229831 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: Association of Ghana Industries | Statement: [Ministry of Trade and Industry of Ghana, collaboratesWith, Association of Ghana Industries]
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: Association of Ghana Industries
Triple: [Ministry of Trade and Industry of Ghana, collaboratesWith, Association of Ghana Industries]
Generated description
The Association of Ghana Industries is a leading business organization representing and advocating for the interests of manufacturing and industrial companies in Ghana.

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_69f76ec8862c8190bfa24145f5480642 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba3f18d60819092d3dc8b32775872 completed May 6, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40954347388190b5f189c295b2041a completed June 28, 2026, 3:30 a.m.
NEDg Description generation batch_6a4095a6afec8190b63b1f6168d246f4 completed June 28, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_6a40963af4d481908f5eb782aa81e23e completed June 28, 2026, 3:34 a.m.
Created at: May 3, 2026, 4:17 p.m.