Triple
T1067086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 29 |
E23234
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Opelika, Alabama |
E132736
|
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: Opelika, Alabama | Statement: [U.S. Route 29, connectsCity, Opelika, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opelika, Alabama Context triple: [U.S. Route 29, connectsCity, Opelika, Alabama]
-
A.
Opelika
chosen
Opelika is a city in eastern Alabama known for its proximity to Auburn and its role as a regional center for industry and commerce.
-
B.
Saraland
Saraland is a suburban city in Mobile County, Alabama, known as part of the Mobile metropolitan area and for its residential communities and local industry.
-
C.
Fayetteville, Alabama
Fayetteville, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
-
D.
Kingston, Alabama
Kingston, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
-
E.
Fairfield, Alabama
Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b911f06881908659cb85ba1e05e0 |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad519194988190bb0eb59e7fa34dea |
completed | March 8, 2026, 10:38 a.m. |
Created at: March 1, 2026, 7:42 p.m.