Triple
T35895302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman theatre of Tarraco |
E1038204
|
entity |
| Predicate | hasLanguageOfOriginalPerformances |
P200653
|
FINISHED |
| Object | Latin |
—
|
LITERAL FINISHED |
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: Latin | Statement: [Roman theatre of Tarraco, hasLanguageOfOriginalPerformances, Latin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfOriginalPerformances Context triple: [Roman theatre of Tarraco, hasLanguageOfOriginalPerformances, Latin]
-
A.
appearsInOriginalLanguage
Indicates that something (such as a work, text, or content) is presented or occurs in the language in which it was originally created, rather than in translation.
-
B.
workInOriginalLanguage
Indicates that a work is being created, presented, or studied in the language in which it was originally produced, without translation.
-
C.
originalLanguageOfLibretto
Indicates the language in which a libretto was originally written for a given work.
-
D.
originalLanguageOfWholeWork
Indicates that a given language is the primary or original language in which an entire work (such as a book, film, or other complete creation) was first produced or expressed.
-
E.
hasLanguageOfOrigin
Indicates that one entity has its origin or source in the language specified by another entity.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69ff9d9ba1ac8190a0cca5764bb5904d |
completed | May 9, 2026, 8:48 p.m. |
Created at: May 3, 2026, 4:06 p.m.