Triple
T11965068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gretna High School |
E284771
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Gretna, Nebraska |
E58852
|
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: Gretna, Nebraska | Statement: [Gretna High School, locatedIn, Gretna, Nebraska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gretna, Nebraska Context triple: [Gretna High School, locatedIn, Gretna, Nebraska]
-
A.
Gretna, Nebraska
chosen
Gretna, Nebraska is a small but rapidly growing suburban city in Sarpy County that serves as part of the greater Omaha metropolitan area.
-
B.
Greenwood, Nebraska
Greenwood, Nebraska is a small rural village in eastern Nebraska that forms part of the Omaha–Lincoln metropolitan region.
-
C.
Arlington, Nebraska
Arlington, Nebraska is a small rural village in eastern Nebraska known for its close-knit community and agricultural surroundings.
-
D.
Sutherland, Nebraska
Sutherland, Nebraska is a small rural village in western Nebraska known for its agricultural community and proximity to the Platte River.
-
E.
O’Neill, Nebraska
O’Neill, Nebraska is a small city in north-central Nebraska known as the “Irish Capital of Nebraska” and serves as a regional agricultural and transportation hub.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903799f948190a5dc4d3822f3ff27 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e94b6008190ae19c245c4c62b5e |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:46 p.m.