Triple
T29986062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svetovid |
E761736
|
entity |
| Predicate | notableTempleDestroyedBy |
P92871
|
FINISHED |
| Object | Danish crusaders |
—
|
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: Danish crusaders | Statement: [Svetovid, notableTempleDestroyedBy, Danish crusaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTempleDestroyedBy Context triple: [Svetovid, notableTempleDestroyedBy, Danish crusaders]
-
A.
templeDestroyedIn
Indicates that a temple was destroyed at or during a specified time or event.
-
B.
shrineDestroyedBy
chosen
Indicates that a shrine has been ruined, demolished, or otherwise destroyed as a result of the actions of a specified agent or cause.
-
C.
landmarksDestroyed
Indicates that certain notable or significant physical landmarks have been damaged or completely destroyed.
-
D.
lastMajorTempleClosed
Indicates the time or event at which the final significant temple associated with an entity was permanently closed.
-
E.
firstPalaceDestroyedBy
Indicates that the subject’s first palace was destroyed by the specified agent or cause.
- 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 6:36 p.m.