Triple
T30722909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Diana (Mérida) |
E782200
|
entity |
| Predicate | misattributedDedication |
P62343
|
FINISHED |
| Object | Diana |
—
|
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: Diana | Statement: [Temple of Diana (Mérida), misattributedDedication, Diana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: misattributedDedication Context triple: [Temple of Diana (Mérida), misattributedDedication, Diana]
-
A.
previouslyMisattributedTo
chosen
Indicates that something was earlier, but incorrectly, attributed or credited to a particular entity before being reassigned correctly.
-
B.
dedicationBy
Indicates that one entity formally dedicates, commits, or devotes another entity (such as a work, resource, or effort) to a particular person, purpose, or cause.
-
C.
possibleDedication
Indicates that one entity is potentially dedicated or devoted to another, but this dedication is uncertain or not definitively established.
-
D.
misattributedVenue
Indicates that an event, work, or occurrence has been incorrectly associated with a particular venue or location.
-
E.
dedicatee
Indicates the person or entity to whom a work, such as a book, artwork, or performance, is formally dedicated.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c5af9088190b5b6e9b23c23faf8 |
completed | May 2, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:36 p.m.