Triple
T6452181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Waldo, Alabama |
E139894
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Waldo, Alabama |
E139894
|
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: Waldo, Alabama | Statement: [Town of Waldo, Alabama, hasOfficialName, Waldo, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldo, Alabama Context triple: [Town of Waldo, Alabama, hasOfficialName, Waldo, Alabama]
-
A.
Waverly, Alabama
Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
-
B.
Town of Waldo, Alabama
chosen
The Town of Waldo, Alabama is a small incorporated community located in east-central Alabama within Talladega County.
-
C.
Wilton, Alabama
Wilton, Alabama is a small town located in Shelby County in the central part of the state.
-
D.
Eldridge, Alabama
Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
-
E.
Waugh, Alabama
Waugh, Alabama is an unincorporated community in Montgomery County known for its rural character and location along U.S. Route 80 east of Montgomery.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b62cbc81908b7f1a0dc1ed3e1d |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bd671d08190a24e8d666040bcc2 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:47 p.m.