Triple

T5509596
Position Surface form Disambiguated ID Type / Status
Subject Upper West Region E144529 entity
Predicate capital P234 FINISHED
Object Wa
Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
 E528353 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: Wa | Statement: [Upper West Region, capital, Wa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wa
Context triple: [Upper West Region, capital, Wa]
  • A. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • B. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • C. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • D. wal
    "wal" is the ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • 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: Wa
Triple: [Upper West Region, capital, Wa]
Generated description
Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wa
Target entity description: Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
  • A. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • B. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • C. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • D. wal
    "wal" is the ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4ba90c8190ad22e5de84c545f9 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027c4b6c0819086c7c64911c7106e completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c033dc91e08190888fb6e94027fbdb completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c03460b21481908b78aa4bdc989d2c completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:33 p.m.