Triple
T1985317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabula Bantina |
E43125
|
entity |
| Predicate | partiallyPreserved |
P35792
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tabula Bantina, partiallyPreserved, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallyPreserved Context triple: [Tabula Bantina, partiallyPreserved, true]
-
A.
partiallyDestroyed
Indicates that an entity has been damaged or ruined to a significant extent but not completely destroyed.
-
B.
partlyProtectedBy
Indicates that an entity is only partially safeguarded or covered by a specified protective measure, not fully protected.
-
C.
partiallyRecapturedBy
Indicates that an entity that was previously captured or controlled has been regained only in part by another entity, not fully restored to its prior captured state.
-
D.
reopenedPartially
Indicates that an entity that was previously closed or inactive has been opened again, but only to a limited or incomplete extent.
-
E.
partlyDefinedBy
Indicates that one entity’s nature, role, or characteristics are only partially determined or 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb96e07c08190beed60096e9d71b4 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:37 p.m.