Triple
T6239115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitutional Court of Korea building |
E139552
|
entity |
| Predicate | hasChamberFor |
P2970
|
FINISHED |
| Object | full bench of the Constitutional Court of Korea |
—
|
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: full bench of the Constitutional Court of Korea | Statement: [Constitutional Court of Korea building, hasChamberFor, full bench of the Constitutional Court of Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChamberFor Context triple: [Constitutional Court of Korea building, hasChamberFor, full bench of the Constitutional Court of Korea]
-
A.
hasChamber
chosen
Indicates that one entity possesses, contains, or is associated with a distinct enclosed space or compartment (a chamber).
-
B.
hasChamberStructure
Indicates that an entity possesses a specific internal chamber or compartmentalized structural organization.
-
C.
hasChamberNumber
Indicates that an entity is associated with a specific chamber identified by a particular number.
-
D.
hasChamberAbove
Indicates that one chamber is positioned vertically above another chamber in a spatial or structural arrangement.
-
E.
hasChamberLength
Indicates the length measurement of a chamber associated with an 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063048df081909a13d16b6f6bf65d |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.