Triple
T60785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States courts of appeals |
E1207
|
entity |
| Predicate | numberOfCourts |
P4502
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [United States courts of appeals, numberOfCourts, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCourts Context triple: [United States courts of appeals, numberOfCourts, 13]
-
A.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
-
B.
numberOfHalls
Indicates the quantity of halls associated with a given entity or location.
-
C.
numberOfDistricts
Indicates the total count of districts associated with a given entity or area.
-
D.
hasNumberOfCinemas
Indicates the quantity of cinemas associated with a given entity.
-
E.
numberOfChambers
Indicates the count of distinct chambers or compartments associated with an entity.
- F. None of above. chosen
Provenance (4 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251a1b8ac8190b44be4c3c41e5681 |
completed | Feb. 28, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69a24ea0bec48190b2af1fb287e9e692 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a251a088f8819083797c2baf310c39 |
completed | Feb. 28, 2026, 2:23 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.