Triple

T2283603
Position Surface form Disambiguated ID Type / Status
Subject Ishmael E51334 entity
Predicate children P980 FINISHED
Object Tema
Tema is a biblical figure mentioned in the Old Testament, traditionally regarded as a descendant of Ishmael and associated with a region or tribe in northwestern Arabia.
 E252902 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: Tema | Statement: [Ishmael, children, Tema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tema
Context triple: [Ishmael, children, Tema]
  • A. Tema
    Tema is a major port and industrial city on the Atlantic coast of Ghana, located east of the capital Accra.
  • B. Tevaram
    Tevaram is a revered collection of early medieval Tamil devotional hymns dedicated to Lord Shiva, foundational to Tamil Shaivite bhakti tradition and liturgy.
  • C. Titel
    Titel is a small town in northern Serbia, situated in the Vojvodina region along the Tisa River.
  • D. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • E. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • 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: Tema
Triple: [Ishmael, children, Tema]
Generated description
Tema is a biblical figure mentioned in the Old Testament, traditionally regarded as a descendant of Ishmael and associated with a region or tribe in northwestern Arabia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tema
Target entity description: Tema is a biblical figure mentioned in the Old Testament, traditionally regarded as a descendant of Ishmael and associated with a region or tribe in northwestern Arabia.
  • A. Tema
    Tema is a major port and industrial city on the Atlantic coast of Ghana, located east of the capital Accra.
  • B. Tevaram
    Tevaram is a revered collection of early medieval Tamil devotional hymns dedicated to Lord Shiva, foundational to Tamil Shaivite bhakti tradition and liturgy.
  • C. Titel
    Titel is a small town in northern Serbia, situated in the Vojvodina region along the Tisa River.
  • D. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • E. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2445f388190af643878145f8249 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f14b98481908c047bc52da3aa2e completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae8004fb6c81908f9fb1678f608419 completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae809ebfdc8190ae404d5711a58b59 completed March 9, 2026, 8:11 a.m.
Created at: March 4, 2026, 7:48 p.m.