Triple
T29750844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bohemian Central Uplands |
E752888
|
entity |
| Predicate | containsCastleRuins |
P71307
|
FINISHED |
| Object | Hazmburk Castle |
—
|
NE NERFINISHED |
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: Hazmburk Castle | Statement: [Bohemian Central Uplands, containsCastleRuins, Hazmburk Castle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsCastleRuins Context triple: [Bohemian Central Uplands, containsCastleRuins, Hazmburk Castle]
-
A.
hasRuinsOn
Indicates that one location or object contains or is the site of ruins situated upon it.
-
B.
hasCastleRemains
chosen
Indicates that one entity possesses or contains the remaining structures or ruins of a castle associated with it.
-
C.
hasMonasteryRuins
Indicates that an entity possesses or contains the remains or ruins of a former monastery.
-
D.
hasFamousCastle
Indicates that an entity possesses or is the location of a castle that is widely recognized or renowned.
-
E.
hasNumberOfChurchRuins
Indicates the quantity of church ruins associated with a given entity.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 28, 2026, 7:53 p.m.