Triple
T8804574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Line |
E209493
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Quincy |
E12073
|
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: Quincy | Statement: [Red Line, servesCity, Quincy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quincy Context triple: [Red Line, servesCity, Quincy]
-
A.
Quincy
chosen
Quincy is a coastal city in eastern Massachusetts known as the "City of Presidents" for being the birthplace of U.S. presidents John Adams and John Quincy Adams.
-
B.
Quincy
Quincy is a French wine appellation in the Loire Valley known primarily for its crisp, aromatic white wines made from Sauvignon Blanc.
-
C.
Quincy
Quincy is a masculine given name of Latin origin meaning "estate of the fifth son," used in various English-speaking countries.
-
D.
Quincy
Quincy is a small unincorporated community in the Sierra Nevada region of Northern California known for its historic downtown and surrounding forests and mountains.
-
E.
Quincy
Quincy is a small city in Gadsden County, Florida, known historically for its tobacco industry and well-preserved downtown 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbe15b081909e87dab6b5029d04 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa04f84408190ac00fd9ec089790f |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:44 p.m.