Triple
T49987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston |
E981
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | The Hub |
E2434
|
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: The Hub | Statement: [Boston, hasNickname, The Hub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hub Context triple: [Boston, hasNickname, The Hub]
-
A.
The Hub
chosen
The Hub is a well-known nickname for Boston, Massachusetts, reflecting its historical role as a central cultural, intellectual, and political center in the United States.
-
B.
Chocolate City
Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
-
C.
Seven Corners
Seven Corners is a densely developed commercial and residential area in Fairfax County, Northern Virginia, known for its major road junction and large shopping centers.
-
D.
Station HYPO
Station HYPO was a U.S. Navy signals intelligence and cryptanalysis unit in Hawaii that played a crucial role in breaking Japanese naval codes and enabling the American victory at the Battle of Midway.
-
E.
Bolt Beranek and Newman
Bolt Beranek and Newman was a pioneering American research and engineering firm best known for its foundational role in developing the ARPANET, a precursor to the modern internet.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24af56cc88190a898f8bf2a283820 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255381a7c8190a48bee7032c622bb |
completed | Feb. 28, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.