Triple
T7833567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandýs nad Labem-Stará Boleslav |
E181632
|
entity |
| Predicate | hasChateau |
P22469
|
FINISHED |
| Object | Renaissance chateau |
—
|
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: Renaissance chateau | Statement: [Brandýs nad Labem-Stará Boleslav, hasChateau, Renaissance chateau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChateau Context triple: [Brandýs nad Labem-Stará Boleslav, hasChateau, Renaissance chateau]
-
A.
hasChampagneHouse
Indicates that one entity owns, operates, or is associated with a particular champagne-producing house.
-
B.
hasCastle
chosen
Indicates that one entity possesses, controls, or contains a castle.
-
C.
hasFamousCastle
Indicates that an entity possesses or is the location of a castle that is widely recognized or renowned.
-
D.
hasChancel
Indicates that something possesses or includes a chancel as part of its structure or layout.
-
E.
hasChampagneBar
Indicates that an entity includes, features, or is equipped with a champagne bar.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064a47648190af2ca2b336584a92 |
completed | March 30, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:45 p.m.