Triple
T8463805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julio Jones |
E200107
|
entity |
| Predicate | highSchoolLocation |
P263
|
FINISHED |
| Object | Foley, Alabama |
E343341
|
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: Foley, Alabama | Statement: [Julio Jones, highSchoolLocation, Foley, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foley, Alabama Context triple: [Julio Jones, highSchoolLocation, Foley, Alabama]
-
A.
Foley, Alabama
chosen
Foley, Alabama is a growing Gulf Coast city in southern Alabama known for its tourism, shopping, and proximity to popular beaches.
-
B.
Fairfield, Alabama
Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
-
C.
Fayetteville, Alabama
Fayetteville, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
-
D.
Falkville, Alabama
Falkville, Alabama is a small town in northern Alabama known for its rural character and location within the Huntsville-Decatur metropolitan area.
-
E.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a39bd48190b72be7e03cff323b |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab16ebd08190a4851e70a41e9908 |
completed | April 3, 2026, 11:57 a.m. |
Created at: March 30, 2026, 6:10 p.m.