Triple

T3220795
Position Surface form Disambiguated ID Type / Status
Subject Ghana Empire E67506 entity
Predicate alsoKnownAs P39 FINISHED
Object Wagadou
Wagadou is the historical name for the Ghana Empire, a powerful West African trading state that flourished between the 6th and 13th centuries.
 E338265 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: Wagadou | Statement: [Ghana Empire, alsoKnownAs, Wagadou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wagadou
Context triple: [Ghana Empire, alsoKnownAs, Wagadou]
  • A. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • B. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • C. Tsévié
    Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
  • D. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • E. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • 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: Wagadou
Triple: [Ghana Empire, alsoKnownAs, Wagadou]
Generated description
Wagadou is the historical name for the Ghana Empire, a powerful West African trading state that flourished between the 6th and 13th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wagadou
Target entity description: Wagadou is the historical name for the Ghana Empire, a powerful West African trading state that flourished between the 6th and 13th centuries.
  • A. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • B. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • C. Tsévié
    Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
  • D. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • E. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae16f20081909d7f3bac016f961d completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2624a770881908f0a9415b6f74ee0 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b2662274988190ae62791744df0562 completed March 12, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69b266bf6bf48190a4480bf9a699dae8 completed March 12, 2026, 7:09 a.m.
Created at: March 8, 2026, 3:08 p.m.