Triple
T5420212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambers County, Alabama |
E121228
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Huguley, Alabama |
E299985
|
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: Huguley, Alabama | Statement: [Chambers County, Alabama, hasTown, Huguley, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huguley, Alabama Context triple: [Chambers County, Alabama, hasTown, Huguley, Alabama]
-
A.
Huguley, Alabama
chosen
Huguley, Alabama is a small unincorporated community located in eastern Alabama near the Georgia state line.
-
B.
Haleburg, Alabama
Haleburg, Alabama is a small rural town located in southeastern Alabama near the Georgia state line.
-
C.
Townley, Alabama
Townley, Alabama is a small unincorporated community located in Walker County in the north-central part of the state.
-
D.
Henagar, Alabama
Henagar, Alabama is a small city situated on Sand Mountain in northeastern Alabama, known for its rural character and agricultural surroundings.
-
E.
Eldridge, Alabama
Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e8f1cc81908b997f8a417697c0 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11331275c8190950247127d8e33c6 |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 20, 2026, 2:06 p.m.