Triple

T17093297
Position Surface form Disambiguated ID Type / Status
Subject Kissi E414777 entity
Predicate hasAlternativeName P39 FINISHED
Object Gisi
Gisi is an alternative name for the Kissi, an ethnic group primarily found in parts of Guinea, Sierra Leone, and Liberia in West Africa.
 E1249850 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: Gisi | Statement: [Kissi, hasAlternativeName, Gisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gisi
Context triple: [Kissi, hasAlternativeName, Gisi]
  • A. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • B. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • C. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • D. Achim
    Achim is a small town in Lower Saxony, Germany, located near the city of Bremen.
  • E. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • 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: Gisi
Triple: [Kissi, hasAlternativeName, Gisi]
Generated description
Gisi is an alternative name for the Kissi, an ethnic group primarily found in parts of Guinea, Sierra Leone, and Liberia in West Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gisi
Target entity description: Gisi is an alternative name for the Kissi, an ethnic group primarily found in parts of Guinea, Sierra Leone, and Liberia in West Africa.
  • A. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • B. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • C. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • D. Achim
    Achim is a small town in Lower Saxony, Germany, located near the city of Bremen.
  • E. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfb89348190942984037bd3bd2e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eec0d5c8190806e756aae848ba2 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012f7f8b148190914b0d7cfb2d5c5c completed May 11, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a012ffb67d4819099ec8d668cb590c9 completed May 11, 2026, 1:25 a.m.
Created at: April 10, 2026, 5:35 a.m.