Triple

T7776188
Position Surface form Disambiguated ID Type / Status
Subject Zagwe dynasty E221395 entity
Predicate coreTerritory P1103 FINISHED
Object Lasta
Lasta is a historic region in northern Ethiopia that served as the political and cultural heartland of the medieval Zagwe dynasty.
E693048 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: Lasta | Statement: [Zagwe dynasty, coreTerritory, Lasta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasta
Context triple: [Zagwe dynasty, coreTerritory, Lasta]
  • A. Sista
    Sista was a 1990s American R&B girl group best known for launching the early career of rapper and producer Missy Elliott.
  • B. Lastarria
    Lastarria is a historic and bohemian neighborhood in central Santiago, Chile, known for its cultural venues, restaurants, and vibrant street life.
  • C. Talifuguen
    Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • D. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • E. Lusta
    Lusta is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • 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: Lasta
Triple: [Zagwe dynasty, coreTerritory, Lasta]
Generated description
Lasta is a historic region in northern Ethiopia that served as the political and cultural heartland of the medieval Zagwe dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lasta
Target entity description: Lasta is a historic region in northern Ethiopia that served as the political and cultural heartland of the medieval Zagwe dynasty.
  • A. Sista
    Sista was a 1990s American R&B girl group best known for launching the early career of rapper and producer Missy Elliott.
  • B. Lastarria
    Lastarria is a historic and bohemian neighborhood in central Santiago, Chile, known for its cultural venues, restaurants, and vibrant street life.
  • C. Talifuguen
    Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • D. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • E. Lusta
    Lusta is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d005808190ac14c8d716421bdb completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf58a86548190b870417692e4b654 completed March 30, 2026, 10:13 p.m.
NEDg Description generation batch_69caf81d934881908fa41ebd43f3b2e2 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69caf9f86d808190880f7bb2fc8d4fe3 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:08 p.m.