Triple
T8146213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watertown Dam |
E190217
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Watertown Square |
E34563
|
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: Watertown Square | Statement: [Watertown Dam, near, Watertown Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watertown Square Context triple: [Watertown Dam, near, Watertown Square]
-
A.
Watertown Square
chosen
Watertown Square is a major transit and commercial hub in Watertown, Massachusetts, functioning as a key connection point for multiple MBTA bus routes and local activity.
-
B.
Mattapan Square
Mattapan Square is a central commercial and transit hub in Boston’s Mattapan neighborhood, known for its diverse community, local businesses, and key transportation connections.
-
C.
Warren Square
Warren Square is one of Savannah, Georgia’s historic public squares, known for its landscaped green space and surrounding period architecture within the city’s famed grid plan.
-
D.
Woods Square
Woods Square is a mixed-use commercial development in Singapore’s Woodlands area that features office spaces integrated with retail and lifestyle amenities.
-
E.
Quincy Market
Quincy Market is a historic 19th-century marketplace in downtown Boston, now a popular destination for food, shopping, and tourism.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4447dbc48190affb0f34f6c85f5a |
completed | March 31, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced2bba08819080c4a2bb8c9ba1f2 |
completed | April 1, 2026, 10:02 a.m. |
Created at: March 30, 2026, 5:36 p.m.