Triple
T2870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Boston |
E54
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Massachusetts |
E37
|
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: Massachusetts | Statement: [Greater Boston, locatedIn, Massachusetts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massachusetts Context triple: [Greater Boston, locatedIn, Massachusetts]
-
A.
Massachusetts
chosen
Massachusetts is a U.S. state in New England known for its pivotal role in American history, prestigious universities, and major cultural and economic centers like Boston.
-
B.
Connecticut
Connecticut is a small New England state in the northeastern United States known for its colonial history, affluent suburbs, and role as a financial and educational hub.
-
C.
Maryland
Maryland is a Mid-Atlantic U.S. state known for its Chesapeake Bay shoreline, colonial history, and proximity to the nation’s capital.
-
D.
Vermont
Vermont is a small, rural New England state in the northeastern United States, known for its Green Mountains, maple syrup production, and picturesque towns.
-
E.
New England
New England is a historic region in the northeastern United States known for its colonial heritage, distinct seasons, and influential role in American culture and politics.
- 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_69a2328f0e848190ac2840eaf2d5ebd2 |
completed | Feb. 28, 2026, 12:10 a.m. |
| NER | Named-entity recognition | batch_69a233c52368819093215a9c745f264c |
completed | Feb. 28, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29e40188c8190a941661f984527bb |
completed | Feb. 28, 2026, 7:50 a.m. |
Created at: Feb. 28, 2026, 12:13 a.m.