Triple
T18765587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City government of Thomaston |
E458885
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Thomaston |
—
|
NE NERFINISHED |
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: Thomaston | Statement: [City government of Thomaston, governs, Thomaston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomaston Context triple: [City government of Thomaston, governs, Thomaston]
-
A.
Thomaston
Thomaston is a small city in central Georgia, United States, known for its historic downtown and role as a local commercial and cultural hub.
-
B.
Thomaston
Thomaston is a small incorporated village located on the North Shore of Long Island in Nassau County, New York.
-
C.
Thomaston
Thomaston is a small town located in Marengo County in the state of Alabama, United States.
-
D.
Thomaston, Connecticut
Thomaston, Connecticut is a small New England town in Litchfield County known for its historic clockmaking industry and traditional downtown.
-
E.
Mellrichstadt
Mellrichstadt is a small town in northern Bavaria, Germany, known for its historic town center and location near the Rhön Mountains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d83ae10819094b3298cb8256327 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.