Triple
T17266960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert W. Kastenmeier United States Courthouse |
E419152
|
entity |
| Predicate | namedEntityCategory |
P70987
|
FINISHED |
| Object | public building |
—
|
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: public building | Statement: [Robert W. Kastenmeier United States Courthouse, namedEntityCategory, public building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedEntityCategory Context triple: [Robert W. Kastenmeier United States Courthouse, namedEntityCategory, public building]
-
A.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
B.
designationCategory
Indicates the classification or type of designation assigned to an entity within a broader designation system.
-
C.
namedChairCategory
Indicates that an individual holds a specific named chair position that belongs to a particular category or type of chairs.
-
D.
categoryLabel_N
chosen
Indicates that an entity is assigned a specific categorical label or classification name.
-
E.
notableCategoryType
Indicates that an entity is notably associated with or classified under a particular category type.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f45bf608190bcb48783d0d6fb85 |
completed | April 19, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.