Triple
T35559956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debre Damo Monastery |
E1027608
|
entity |
| Predicate | languageOfLitury |
P202844
|
FINISHED |
| Object | Geʽez |
—
|
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: Geʽez | Statement: [Debre Damo Monastery, languageOfLitury, Geʽez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfLitury Context triple: [Debre Damo Monastery, languageOfLitury, Geʽez]
-
A.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
-
B.
languageOfBooks
Indicates the language in which the referenced books are written or published.
-
C.
languageWrittenAbout
Indicates that something is written about or concerning a particular language.
-
D.
languageOfAuthor
Indicates the language in which an author writes or has written their works.
-
E.
literaryLanguage
Indicates that an entity is expressed, written, or communicated using a particular literary or standardized written language.
- F. None of above. chosen
Provenance (4 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00c486d394819084fe93d5bb11ea1e |
completed | May 10, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_6a00c39d99d48190a94bfa057213499c |
completed | May 10, 2026, 5:42 p.m. |
| PDg | Predicate description generation | batch_6a00c48622b08190910d4dbc6db94c10 |
completed | May 10, 2026, 5:46 p.m. |
Created at: May 3, 2026, 4:04 p.m.