Triple
T7695335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mobile Bay |
E174353
|
entity |
| Predicate | hasCityOnShore |
P969
|
FINISHED |
| Object | Daphne, Alabama |
E339073
|
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: Daphne, Alabama | Statement: [Mobile Bay, hasCityOnShore, Daphne, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daphne, Alabama Context triple: [Mobile Bay, hasCityOnShore, Daphne, Alabama]
-
A.
Daphne, Alabama
chosen
Daphne, Alabama is a growing city on the eastern shore of Mobile Bay known for its suburban character, coastal setting, and role as a key community in the Mobile metropolitan area.
-
B.
Helena, Alabama
Helena, Alabama is a suburban city in central Alabama known for its family-friendly neighborhoods, strong schools, and proximity to Birmingham.
-
C.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
D.
Brent, Alabama
Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
-
E.
McCalla, Alabama
McCalla, Alabama is an unincorporated community in Jefferson and Tuscaloosa counties known for its suburban character and proximity to Birmingham and historic sites like Tannehill Ironworks.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70266b9bc8190a47e65967e4b1df8 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9d1416f8c81909719680c3df9fce4 |
completed | March 30, 2026, 1:26 a.m. |
Created at: March 27, 2026, 4:02 p.m.