Triple
T20942959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Nature |
E515768
|
entity |
| Predicate | reconstructedThrough |
P121499
|
FINISHED |
| Object | comparative analysis of testimonia |
—
|
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: comparative analysis of testimonia | Statement: [On Nature, reconstructedThrough, comparative analysis of testimonia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructedThrough Context triple: [On Nature, reconstructedThrough, comparative analysis of testimonia]
-
A.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
-
B.
reconstructedAfter
Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
-
C.
reconstructedWith
chosen
Indicates that something has been rebuilt, restored, or reassembled using a specified method, material, or set of components.
-
D.
reconstructedDuring
Indicates that an entity was rebuilt, restored, or significantly repaired within a specified time period or event.
-
E.
reconstructedFor
Indicates that something has been rebuilt, restored, or re-created for the benefit, use, or purpose 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95838708190978dfa8bc786fb22 |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:50 p.m.