Triple
T21839311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noric |
E539210
|
entity |
| Predicate | degreeOfReconstruction |
P51742
|
FINISHED |
| Object | very limited |
—
|
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: very limited | Statement: [Noric, degreeOfReconstruction, very limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfReconstruction Context triple: [Noric, degreeOfReconstruction, very limited]
-
A.
numberOfReconstructions
Indicates the count of times an entity has been reconstructed or rebuilt.
-
B.
involvesReconstructionOf
Indicates that one entity includes, requires, or performs the rebuilding, restoration, or re-creation of another entity or its prior state.
-
C.
hasReconstructionLevel
chosen
Indicates the degree or stage to which something has been rebuilt, restored, or reconstructed.
-
D.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
-
E.
containsReconstructionOf
Indicates that one entity includes or incorporates a recreated, restored, or reconstructed version of another entity.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7aaa4f081909e869d2e81b07b91 |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.