Triple

T14786500
Position Surface form Disambiguated ID Type / Status
Subject Ethiopic Extended E347539 entity
Predicate usedFor P98 FINISHED
Object Sebatbeit
Sebatbeit is a writing system or orthographic tradition that employs characters from the Ethiopic Extended Unicode block.
E1119804 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: Sebatbeit | Statement: [Ethiopic Extended, usedFor, Sebatbeit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebatbeit
Context triple: [Ethiopic Extended, usedFor, Sebatbeit]
  • A. Beita
    Beita is a Palestinian town in the central West Bank known for its location south of Nablus and for frequent land and settlement-related tensions with Israeli authorities and settlers.
  • B. Al-Bayda
    Al-Bayda is a city in eastern Libya known as an administrative center and gateway to the nearby Jebel Akhdar region.
  • C. Battir
    Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
  • D. Belqas
    Belqas is a notable city in Egypt’s Dakahlia Governorate, recognized as an important local urban and administrative center in the Nile Delta region.
  • E. Saqba
    Saqba is a town in southwestern Syria that forms part of the urban and suburban area surrounding the capital, Damascus.
  • 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: Sebatbeit
Triple: [Ethiopic Extended, usedFor, Sebatbeit]
Generated description
Sebatbeit is a writing system or orthographic tradition that employs characters from the Ethiopic Extended Unicode block.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sebatbeit
Target entity description: Sebatbeit is a writing system or orthographic tradition that employs characters from the Ethiopic Extended Unicode block.
  • A. Beita
    Beita is a Palestinian town in the central West Bank known for its location south of Nablus and for frequent land and settlement-related tensions with Israeli authorities and settlers.
  • B. Al-Bayda
    Al-Bayda is a city in eastern Libya known as an administrative center and gateway to the nearby Jebel Akhdar region.
  • C. Battir
    Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
  • D. Belqas
    Belqas is a notable city in Egypt’s Dakahlia Governorate, recognized as an important local urban and administrative center in the Nile Delta region.
  • E. Saqba
    Saqba is a town in southwestern Syria that forms part of the urban and suburban area surrounding the capital, Damascus.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe266a05308190b9f6adba3e635e2f completed May 8, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe26f8fb7881909892c381b16fc80a completed May 8, 2026, 6:10 p.m.
Created at: April 10, 2026, 1:31 a.m.