Triple
T18246884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arsenal on the Charles |
E436974
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Watertown |
—
|
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: Watertown | Statement: [Arsenal on the Charles, city, Watertown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watertown Context triple: [Arsenal on the Charles, city, Watertown]
-
A.
Watertown
Watertown is a small city in Wilson County, Tennessee, known for its historic downtown and role as a regional community hub.
-
B.
Watertown
Watertown is a small American city governed under a council–manager system, with a professional city manager overseeing its municipal operations.
-
C.
Watertown
Watertown is a principal city in northeastern South Dakota known as a regional commercial center and home to Lake Kampeska and the Redlin Art Center.
-
D.
Watertown, Massachusetts
chosen
Watertown, Massachusetts is a historic suburban city just west of Boston, known for its early industrial development and significant Armenian-American community.
-
E.
City of Watertown
The City of Watertown is a small upstate New York city that serves as a regional hub for education, commerce, and services in Jefferson County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e7d49c8190b227a13b63615754 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.