Triple
T31420429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grabeskirche |
E801514
|
entity |
| Predicate | wurdeWiederaufgebautImJahrhundert |
P11509
|
FINISHED |
| Object | 11. Jahrhundert |
—
|
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: 11. Jahrhundert | Statement: [Grabeskirche, wurdeWiederaufgebautImJahrhundert, 11. Jahrhundert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wurdeWiederaufgebautImJahrhundert Context triple: [Grabeskirche, wurdeWiederaufgebautImJahrhundert, 11. Jahrhundert]
-
A.
rebuiltInCentury
chosen
Indicates that an existing structure or entity was reconstructed or significantly rebuilt during a specified century.
-
B.
reestablishedInCentury
Indicates that an entity, previously established and then discontinued or disrupted, was re-founded or restored during a specified century.
-
C.
rebuiltApproximateEndYear
Indicates that an entity was rebuilt, with the specified year representing an approximate (not exact) end date of the rebuilding process.
-
D.
partiallyRebuiltInCentury
Indicates that an entity underwent partial reconstruction or significant repair during the specified century.
-
E.
reconstructionYear
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
- 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 8:47 p.m.