Triple
T9337650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Correctional Institution El Reno |
E224685
|
entity |
| Predicate | streetAddressLocality |
P7943
|
FINISHED |
| Object | El Reno |
E666282
|
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: El Reno | Statement: [Federal Correctional Institution El Reno, streetAddressLocality, El Reno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Reno Context triple: [Federal Correctional Institution El Reno, streetAddressLocality, El Reno]
-
A.
El Reno
chosen
El Reno is a small city in central Oklahoma known for its historic Route 66 ties, annual fried onion burger festival, and role as a regional agricultural and transportation hub.
-
B.
Wichita
Wichita is a 1955 American Western film starring Joel McCrea as lawman Wyatt Earp in the turbulent Kansas cattle town.
-
C.
Wichita
Wichita is a small unincorporated community located in Guthrie County, Iowa.
-
D.
Wichita
Wichita is a savvy, resourceful con artist and one of the central survivors in the post-apocalyptic comedy film "Zombieland."
-
E.
Tulsa
Tulsa is a major city in northeastern Oklahoma known for its historic oil industry, distinctive Art Deco architecture, and vibrant arts and cultural scene.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f312408190b5501432a6a855b7 |
completed | April 1, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6523db338819088e2fadf346ad845 |
completed | April 8, 2026, 1:03 p.m. |
Created at: March 30, 2026, 7:40 p.m.