Triple

T16594415
Position Surface form Disambiguated ID Type / Status
Subject Mozabite Berber E403169 entity
Predicate hasEndonym P1435 FINISHED
Object Tumzabt
Tumzabt is the native Berber language spoken by the Mozabite community in the M'zab region of Algeria.
E1222280 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: Tumzabt | Statement: [Mozabite Berber, hasEndonym, Tumzabt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumzabt
Context triple: [Mozabite Berber, hasEndonym, Tumzabt]
  • A. Hama Tuma
    Hama Tuma is an Ethiopian writer and political satirist known for his sharp, critical short stories and essays that challenge authoritarianism and social injustice.
  • B. Tumladen
    Tumladen is a hidden, fertile valley in J.R.R. Tolkien’s legendarium, famed as the secluded site of the Elven city of Gondolin in Beleriand.
  • C. Tumasik
    Tumasik is an old name for the island of Singapore, historically referenced in regional Malay and Javanese sources.
  • D. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • E. Tzurulum
    Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
  • 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: Tumzabt
Triple: [Mozabite Berber, hasEndonym, Tumzabt]
Generated description
Tumzabt is the native Berber language spoken by the Mozabite community in the M'zab region of Algeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tumzabt
Target entity description: Tumzabt is the native Berber language spoken by the Mozabite community in the M'zab region of Algeria.
  • A. Hama Tuma
    Hama Tuma is an Ethiopian writer and political satirist known for his sharp, critical short stories and essays that challenge authoritarianism and social injustice.
  • B. Tumladen
    Tumladen is a hidden, fertile valley in J.R.R. Tolkien’s legendarium, famed as the secluded site of the Elven city of Gondolin in Beleriand.
  • C. Tumasik
    Tumasik is an old name for the island of Singapore, historically referenced in regional Malay and Javanese sources.
  • D. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • E. Tzurulum
    Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d70ad008190bba0901bf3c7089f completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759dea5c819083fe9fb7dee37a35 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a0076468d588190972639d0a22f0e3e completed May 10, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_6a007734abd481909c9c698f2aef7632 completed May 10, 2026, 12:16 p.m.
Created at: April 10, 2026, 5:16 a.m.