Triple
T18981465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Elmendorf |
E464436
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Elmendorf |
—
|
NE NERFINISHED |
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: Elmendorf | Statement: [City of Elmendorf, hasName, Elmendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmendorf Context triple: [City of Elmendorf, hasName, Elmendorf]
-
A.
Elmendorf
Elmendorf is a surname most notably associated with Hugh M. Elmendorf, a U.S. Army Air Corps officer and early military aviator for whom Elmendorf Air Force Base in Alaska is named.
-
B.
City of Elmendorf
chosen
The City of Elmendorf is a small municipality located in Bexar County, Texas, within the San Antonio metropolitan area.
-
C.
Ellsworth
Ellsworth is a small village located in northern Michigan, United States.
-
D.
Ellsworth
Ellsworth is a given name most notably associated with the American abstract painter and sculptor Ellsworth Kelly.
-
E.
Soldotna
Soldotna is a small city on Alaska’s Kenai Peninsula known for its world-class salmon fishing on the Kenai River and its role as a regional service and tourism hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65d27548190b86d4c5f5b51d809 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.