Triple
T10698360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Massachusetts |
E252203
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Groton |
E102701
|
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: Groton | Statement: [Northern Massachusetts, hasTown, Groton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groton Context triple: [Northern Massachusetts, hasTown, Groton]
-
A.
Groton
Groton is a small incorporated village located within Tompkins County in the state of New York.
-
B.
Groton, Massachusetts
chosen
Groton, Massachusetts is a historic New England town known for its rural character, scenic landscapes, and prestigious preparatory schools such as Groton School.
-
C.
New London
New London is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
-
D.
New London
New London is a small town located in Stanly County in the central region of North Carolina, United States.
-
E.
Westport
Westport is a small coastal town on the West Coast of New Zealand’s South Island, known historically for coal mining and its proximity to rugged natural landscapes.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8a03848190bf68dd470bee103a |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4416ecd748190b15f7496e1ce7728 |
completed | April 19, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:12 p.m.