Triple
T12253134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunxis Community College |
E292024
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Farmington |
E60596
|
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: Farmington | Statement: [Tunxis Community College, city, Farmington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farmington Context triple: [Tunxis Community College, city, Farmington]
-
A.
Farmington
Farmington is a city in northwestern New Mexico known as a regional hub for energy production and outdoor recreation near the Four Corners area.
-
B.
Farmington
Farmington is a small unincorporated community in San Joaquin County, California, situated in the state’s Central Valley.
-
C.
Farmington
Farmington is a small city in Davis County, Utah, known as a suburban community between Salt Lake City and Ogden and as the home of the Lagoon amusement park.
-
D.
Marford
Marford is a village in Wrexham County Borough, Wales, known for its distinctive Gothic-style architecture and historic character.
-
E.
Farmington, Connecticut
chosen
Farmington, Connecticut is a suburban town in central Connecticut known for its affluent residential character, historic New England charm, and role as a base for major corporate and educational institutions.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc849308190b6ff416f8b4f01e8 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e620ed88190b46d256ebe994714 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.