Triple

T32754906
Position Surface form Disambiguated ID Type / Status
Subject Miracles of Mary E837595 entity
Predicate hasTitleInGeʽez P46856 FINISHED
Object Täʾammərä Maryam
Täʾammərä Maryam is the Geʽez title of a medieval Ethiopian collection of miracle stories attributed to the Virgin Mary, central to Ethiopian Orthodox Christian devotion and literature.
E2021427 NE FINISHED

How this triple was built (3 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: Täʾammərä Maryam | Statement: [Miracles of Mary, hasTitleInGeʽez, Täʾammərä Maryam]
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: Täʾammərä Maryam
Triple: [Miracles of Mary, hasTitleInGeʽez, Täʾammərä Maryam]
Generated description
Täʾammərä Maryam is the Geʽez title of a medieval Ethiopian collection of miracle stories attributed to the Virgin Mary, central to Ethiopian Orthodox Christian devotion and literature.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTitleInGeʽez
Context triple: [Miracles of Mary, hasTitleInGeʽez, Täʾammərä Maryam]
  • A. hasTitleInTransliteration chosen
    Indicates that an entity has a specific title represented in a transliterated form from another writing system.
  • B. hasTitleInEnglishOrthography
    Indicates that an entity has a specific title expressed using English spelling and writing conventions.
  • C. hasTitleInRevisedRomanization
    Indicates that an entity has a specific title expressed using the Revised Romanization system for Korean.
  • D. hasTitleIn
    Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
  • E. hasTitleInGreek
    Indicates that an entity possesses a specific title expressed in the Greek language.
  • F. None of above.

Provenance (6 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_69f34937f97c8190b7f84bea045df3ae completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd3d46d1f48190a1b20dd063224b7d completed May 8, 2026, 1:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7bc3e308190a6ee32259cda442b completed June 19, 2026, 2:21 a.m.
NEDg Description generation batch_6a34a8fb2e0081908cdac2a172ea5c32 completed June 19, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a34a9cef0248190bf3bef6627945496 completed June 19, 2026, 2:30 a.m.
PD Predicate disambiguation batch_69fd3ae1510c81908fe1280efc17feee completed May 8, 2026, 1:22 a.m.
Created at: May 1, 2026, 1:12 a.m.