Triple
T1310634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kern County |
E27981
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Delano |
E110863
|
NE 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: Delano | Statement: [Kern County, containsCity, Delano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delano Context triple: [Kern County, containsCity, Delano]
-
A.
Delano
Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
-
B.
Delano
chosen
Delano is a small agricultural city in California’s Central Valley known for its table grape production and historic role in the farm labor movement.
-
C.
Peoria
Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
-
D.
Lombard, Illinois
Lombard, Illinois is a suburban village in the Chicago metropolitan area known for its historic Lilac Festival and residential character.
-
E.
Eastland
Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c15490a88190872c3d2698a8f9c9 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc6255b808190823bc240365ed304 |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:51 p.m.