Triple
T11223427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Townley, Alabama |
E265630
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Townley, AL |
E265630
|
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: Townley, AL | Statement: [Townley, Alabama, abbreviation, Townley, AL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Townley, AL Context triple: [Townley, Alabama, abbreviation, Townley, AL]
-
A.
Townley, Alabama
chosen
Townley, Alabama is a small unincorporated community located in Walker County in the north-central part of the state.
-
B.
Ensley, Alabama
Ensley, Alabama is a historic industrial neighborhood in Birmingham that developed as a major steelmaking and manufacturing center in the late 19th and early 20th centuries.
-
C.
Talucah, Alabama
Talucah, Alabama is an unincorporated rural community located in Morgan County in northern Alabama.
-
D.
Summerfield, Alabama
Summerfield, Alabama is a rural unincorporated community in Dallas County known for its historic character and agricultural surroundings in the central part of the state.
-
E.
Courtland, Alabama
Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ec8fb08190b27144ab65f85957 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4978389848190ac5a8b985bbea15f |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:30 p.m.