Triple
T7322428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groton, New York |
E168782
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Groton |
E168782
|
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: [Groton, New York, hasName, Groton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groton Context triple: [Groton, New York, hasName, Groton]
-
A.
Groton
chosen
Groton is a small incorporated village located within Tompkins County in the state of New York.
-
B.
Groton, Massachusetts
Groton, Massachusetts is a historic New England town known for its rural character, scenic landscapes, and prestigious preparatory schools such as Groton School.
-
C.
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.
-
D.
Westport
Westport is a town in Dane County, Wisconsin, known for its suburban-rural character near the Madison metropolitan area.
-
E.
Westport
Westport is a historic neighborhood and entertainment district in Kansas City, Missouri, known for its 19th-century roots, nightlife, and preserved architecture.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0446628819093e96236f1aa4a9b |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810c6617c8190b4b37466e32c71c0 |
completed | March 28, 2026, 5:32 p.m. |
Created at: March 27, 2026, 3:03 p.m.