Triple

T14663957
Position Surface form Disambiguated ID Type / Status
Subject Tyap language E344315 entity
Predicate alternateName P39 FINISHED
Object Katab
Katab is an alternate name for the Tyap language, a Plateau language spoken primarily in central Nigeria.
E1112754 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: Katab | Statement: [Tyap language, alternateName, Katab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katab
Context triple: [Tyap language, alternateName, Katab]
  • A. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • B. Kaben
    Kaben is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
  • C. Kubban
    Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
  • D. Kawab
    Kawab was an ancient Egyptian prince of the 4th Dynasty, likely the crown prince and high official under his father, Pharaoh Khufu.
  • E. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • 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: Katab
Triple: [Tyap language, alternateName, Katab]
Generated description
Katab is an alternate name for the Tyap language, a Plateau language spoken primarily in central Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Katab
Target entity description: Katab is an alternate name for the Tyap language, a Plateau language spoken primarily in central Nigeria.
  • A. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • B. Kaben
    Kaben is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
  • C. Kubban
    Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
  • D. Kawab
    Kawab was an ancient Egyptian prince of the 4th Dynasty, likely the crown prince and high official under his father, Pharaoh Khufu.
  • E. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ae5ac81908cc69891f280e5f7 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e4789481909a64622a1d284373 completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdd9b5d7988190927e88feef6a972f completed May 8, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_69fddaa56f4c8190ba56af6a7a56a201 completed May 8, 2026, 12:44 p.m.
Created at: April 10, 2026, 1:27 a.m.