Triple

T22719734
Position Surface form Disambiguated ID Type / Status
Subject central Ghana E561827 entity
Predicate majorCity P316 FINISHED
Object Techiman
Techiman is a prominent commercial and transportation hub in central Ghana, known especially for its large traditional market and role in regional trade.
 E1551212 NE FINISHED

How this triple was built (4 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: Techiman | Statement: [central Ghana, majorCity, Techiman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Techiman
Context triple: [central Ghana, majorCity, Techiman]
  • A. Tepiman
    Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
  • B. Simanu
    Simanu is a month in the ancient Babylonian calendar, corresponding roughly to late spring or early summer in the modern Gregorian calendar.
  • C. Danchimah
    Danchimah is a surname of likely African origin, associated with individuals such as Godfrey Danchimah.
  • D. Wadaman
    Wadaman is an alternative spelling for the Wardaman people, an Aboriginal Australian group traditionally associated with the Victoria River region of the Northern Territory.
  • E. Chessun
    Chessun is a relatively uncommon English surname most notably borne by Anglican bishop Christopher Chessun.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Techiman
Triple: [central Ghana, majorCity, Techiman]
Generated description
Techiman is a prominent commercial and transportation hub in central Ghana, known especially for its large traditional market and role in regional trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Techiman
Target entity description: Techiman is a prominent commercial and transportation hub in central Ghana, known especially for its large traditional market and role in regional trade.
  • A. Tepiman
    Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
  • B. Simanu
    Simanu is a month in the ancient Babylonian calendar, corresponding roughly to late spring or early summer in the modern Gregorian calendar.
  • C. Danchimah
    Danchimah is a surname of likely African origin, associated with individuals such as Godfrey Danchimah.
  • D. Wadaman
    Wadaman is an alternative spelling for the Wardaman people, an Aboriginal Australian group traditionally associated with the Victoria River region of the Northern Territory.
  • E. Chessun
    Chessun is a relatively uncommon English surname most notably borne by Anglican bishop Christopher Chessun.
  • F. None of above. chosen

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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17910deb48190b38174e16868f3dd completed April 29, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ee1fa788190b7589af0c049f6e5 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b834f488c8190bee40bd1caea0e40 completed May 18, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b8717b65c819089d29c1802d1ed55 completed May 18, 2026, 9:39 p.m.
Created at: April 17, 2026, 3:19 p.m.