Triple
T6419109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyköping Castle |
E127899
|
entity |
| Predicate | hasRestorations |
P13045
|
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: [Nyköping Castle, hasRestorations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRestorations Context triple: [Nyköping Castle, hasRestorations, true]
-
A.
hasRestoration
chosen
Indicates that an entity has undergone, is undergoing, or is associated with a process of repair, renewal, or restoration.
-
B.
hasRestorationActivities
Indicates that an entity carries out, is involved in, or is associated with actions aimed at restoring or rehabilitating another entity or resource.
-
C.
restored
Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
-
D.
restoredBy
Indicates that an entity has been returned to a previous or improved state through the actions or intervention of another entity.
-
E.
attemptedRestoration
Indicates an action where an entity makes an effort to restore or return another entity to a previous or desired state, condition, or form, regardless of whether the restoration succeeds.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0690194dc8190b3382bd5f92876b5 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.