Triple

T23823312
Position Surface form Disambiguated ID Type / Status
Subject Nkawkaw E589294 entity
Predicate roadConnection P385 FINISHED
Object Nkawkaw–Atibie road
The Nkawkaw–Atibie road is a key mountainous highway in Ghana’s Eastern Region that links the town of Nkawkaw to the hilltop community of Atibie and serves as an important route to the Kwahu area.
E1603442 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: Nkawkaw–Atibie road | Statement: [Nkawkaw, roadConnection, Nkawkaw–Atibie road]
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: Nkawkaw–Atibie road
Triple: [Nkawkaw, roadConnection, Nkawkaw–Atibie road]
Generated description
The Nkawkaw–Atibie road is a key mountainous highway in Ghana’s Eastern Region that links the town of Nkawkaw to the hilltop community of Atibie and serves as an important route to the Kwahu area.

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_69e25d18619081909c7fb89d8926f14a completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c7b12520819086daf8c284732e0f completed April 29, 2026, 8:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f699ab3548190ab4928e97fabe104 completed May 21, 2026, 8:22 p.m.
NEDg Description generation batch_6a0f6a2b96048190b3f1e6465232f4ba completed May 21, 2026, 8:25 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6d52d9b88190978d6809eb0adfd1 completed May 21, 2026, 8:38 p.m.
Created at: April 17, 2026, 7:59 p.m.