Triple

T20777726
Position Surface form Disambiguated ID Type / Status
Subject Duékoué E511396 entity
Predicate nearbyCity P350 FINISHED
Object Man
Man is a city in western Côte d'Ivoire known as a regional center in the mountainous Guémon region, noted for its surrounding forests and cultural diversity.
 E1450476 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: Man | Statement: [Duékoué, nearbyCity, Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Man
Context triple: [Duékoué, nearbyCity, Man]
  • A. Man
    Man was a prominent British anthropological journal that served as the main publication of the Royal Anthropological Institute before being continued under a new title.
  • B. Man
    Man is a 1996 studio album by Swedish singer-songwriter Neneh Cherry that blends pop, trip hop, and alternative influences and features her hit single "Woman."
  • C. Man
    Man is an island in the Irish Sea that forms the self-governing British Crown dependency known as the Isle of Man.
  • D. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • E. MAN
    MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
  • 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: Man
Triple: [Duékoué, nearbyCity, Man]
Generated description
Man is a city in western Côte d'Ivoire known as a regional center in the mountainous Guémon region, noted for its surrounding forests and cultural diversity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Man
Target entity description: Man is a city in western Côte d'Ivoire known as a regional center in the mountainous Guémon region, noted for its surrounding forests and cultural diversity.
  • A. Man
    Man was a prominent British anthropological journal that served as the main publication of the Royal Anthropological Institute before being continued under a new title.
  • B. Man
    Man is a 1996 studio album by Swedish singer-songwriter Neneh Cherry that blends pop, trip hop, and alternative influences and features her hit single "Woman."
  • C. Man
    Man is an island in the Irish Sea that forms the self-governing British Crown dependency known as the Isle of Man.
  • D. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • E. MAN
    MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26d34bc81908bb22087d434322d completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef97b6fc819084beba382b05b813 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f32ecdd48190b38a9119f285a7e9 completed May 16, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a08f3a54f508190a95a951dbb1efc68 completed May 16, 2026, 10:45 p.m.
Created at: April 16, 2026, 12:37 p.m.