Triple
T32055795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidentor |
E818613
|
entity |
| Predicate | currentPreservationState |
P9592
|
FINISHED |
| Object | only one corner and part of arch 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: only one corner and part of arch preserved | Statement: [Heidentor, currentPreservationState, only one corner and part of arch preserved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentPreservationState Context triple: [Heidentor, currentPreservationState, only one corner and part of arch preserved]
-
A.
stateOfPreservation
chosen
Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
-
B.
currentKeepStatus
Indicates the present retention or preservation state currently assigned to an entity.
-
C.
preservationType
Indicates the method or process by which something is preserved or kept from deterioration.
-
D.
hasPreservationControls
Indicates that an entity is subject to specific measures or mechanisms intended to preserve, protect, or maintain it over time.
-
E.
hasPreserved
Indicates that one entity has kept another entity intact, unchanged, or maintained in its original or functional state 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
Created at: May 1, 2026, 12:21 a.m.