Triple
T17354691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Attorney’s Office for the Central District of California |
E421903
|
entity |
| Predicate | districtSize |
P127162
|
FINISHED |
| Object | one of the largest federal judicial districts in the United States |
—
|
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: one of the largest federal judicial districts in the United States | Statement: [United States Attorney’s Office for the Central District of California, districtSize, one of the largest federal judicial districts in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtSize Context triple: [United States Attorney’s Office for the Central District of California, districtSize, one of the largest federal judicial districts in the United States]
-
A.
cityGovernedSize
Indicates the size or scale of a city in terms of the area or population it governs.
-
B.
distributionSize
Indicates the quantity or scale of items or units included in a particular distribution.
-
C.
district
Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
-
D.
countyArea
Indicates the total geographic area covered by a county, typically measured in standard area units.
-
E.
staffPopulationApprox
Indicates an approximate or estimated number of staff 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2f26548190a8822b2470ec3c72 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:44 a.m.