Triple
T7679001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston County, Alabama |
E173939
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Taylor, Alabama |
E361309
|
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: Taylor, Alabama | Statement: [Houston County, Alabama, hasCommunity, Taylor, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor, Alabama Context triple: [Houston County, Alabama, hasCommunity, Taylor, Alabama]
-
A.
Taylor, Alabama
chosen
Taylor, Alabama is a small town located in southeastern Alabama that is part of the Dothan metropolitan area.
-
B.
Tyler, Alabama
Tyler, Alabama is a small unincorporated rural community located in Dallas County in the central part of the state.
-
C.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
D.
Billingsley, Alabama
Billingsley, Alabama is a small rural town in central Alabama known for its close-knit community and agricultural surroundings.
-
E.
Townley, Alabama
Townley, Alabama is a small unincorporated community located in Walker County in the north-central 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fe2cc88190b5fd5e1378c32e5b |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9cd7f9b2c81908a1f77a9cc37a0be |
completed | March 30, 2026, 1:10 a.m. |
Created at: March 27, 2026, 4:01 p.m.