Triple
T2343410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florala, Alabama |
E45076
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Andalusia, Alabama |
E124688
|
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: Andalusia, Alabama | Statement: [Florala, Alabama, locatedNear, Andalusia, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andalusia, Alabama Context triple: [Florala, Alabama, locatedNear, Andalusia, Alabama]
-
A.
Andalusia, Alabama
chosen
Andalusia, Alabama is a small city in Covington County known as a regional hub in south-central Alabama with historic charm and access to major transportation routes.
-
B.
Rosa, Alabama
Rosa, Alabama is a small town located in Blount County in the northern part of the state.
-
C.
Argo, Alabama
Argo, Alabama is a small town in the Birmingham metropolitan area known for its suburban-rural character within central Alabama.
-
D.
Enterprise, Alabama
Enterprise, Alabama is a prominent city in southeastern Alabama known for its agricultural heritage and the famous Boll Weevil Monument.
-
E.
South Alabama
South Alabama is the southernmost region of the U.S. state of Alabama, known for its Gulf Coast beaches, warm climate, and cultural ties to nearby Florida and the broader Deep South.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6ae33e881909a81a0c0def59059 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96253f0c81908b866c656c3f5bea |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:52 p.m.