Triple
T32754906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miracles of Mary |
E837595
|
entity |
| Predicate | hasTitleInGeʽez |
P46856
|
FINISHED |
| Object | Täʾammərä Maryam |
—
|
NE NERFINISHED |
How this triple was built (2 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]
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 (3 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. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 1, 2026, 1:12 a.m.