Triple
T19529407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eight Prohibitions |
E488618
|
entity |
| Predicate | degreeOfPreservation |
P9592
|
FINISHED |
| Object | partially preserved |
—
|
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: partially preserved | Statement: [Eight Prohibitions, degreeOfPreservation, partially preserved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfPreservation Context triple: [Eight Prohibitions, degreeOfPreservation, partially preserved]
-
A.
stateOfPreservation
chosen
Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
-
B.
preservationFactor
Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
-
C.
preservationType
Indicates the method or process by which something is preserved or kept from deterioration.
-
D.
hasSubjectOfPreservation
Indicates that something is the specific focus or object being preserved or conserved within a preservation relationship.
-
E.
preservationMethod
Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363dfd6c8190aaa0b374184965bb |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.