Triple
T8747401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunswick Lion |
E207865
|
entity |
| Predicate | hasOriginal |
P76139
|
FINISHED |
| Object | Brunswick Lion original in Dankwarderode Castle |
—
|
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: Brunswick Lion original in Dankwarderode Castle | Statement: [Brunswick Lion, hasOriginal, Brunswick Lion original in Dankwarderode Castle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginal Context triple: [Brunswick Lion, hasOriginal, Brunswick Lion original in Dankwarderode Castle]
-
A.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
B.
hasOriginalLocation
chosen
Indicates that an entity was initially located or situated at a specified place or position before any change or movement occurred.
-
C.
hasOriginalPrefix
Indicates that an entity retains or is associated with its initial or primary prefix from which later forms or variants are derived.
-
D.
originallyHad
Indicates that an entity previously possessed, contained, or was associated with something before a change, loss, or transformation occurred.
-
E.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da2d67c819094b2b39c78384d0d |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:39 p.m.