Triple
T7024531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loop elevated |
E162909
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Quincy station
Quincy station is a historic elevated rapid transit stop in downtown Chicago that serves the city's Loop 'L' system.
|
E636807
|
NE FINISHED |
How this triple was built (4 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 station | Statement: [Loop elevated, hasStation, Quincy station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quincy station Context triple: [Loop elevated, hasStation, Quincy station]
-
A.
Quincy Center station
Quincy Center station is a major MBTA Red Line rapid transit and commuter rail hub located in downtown Quincy, Massachusetts.
-
B.
Hawthorne station
Hawthorne station is a commuter rail stop in Mount Pleasant, New York, serving passengers on the Metro-North Railroad’s Harlem Line.
-
C.
Quincy Adams station
Quincy Adams station is a rapid transit station on Boston's MBTA Red Line serving the city of Quincy, Massachusetts.
-
D.
Belmont station
Belmont station is a major Chicago Transit Authority 'L' station on the North Side that serves as a key transfer point between multiple rapid transit lines.
-
E.
Belmont station
Belmont station is a commuter rail stop in Downers Grove, Illinois, served by Metra’s BNSF Railway Line connecting the suburb to downtown Chicago.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quincy station Triple: [Loop elevated, hasStation, Quincy station]
Generated description
Quincy station is a historic elevated rapid transit stop in downtown Chicago that serves the city's Loop 'L' system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quincy station Target entity description: Quincy station is a historic elevated rapid transit stop in downtown Chicago that serves the city's Loop 'L' system.
-
A.
Quincy Center station
Quincy Center station is a major MBTA Red Line rapid transit and commuter rail hub located in downtown Quincy, Massachusetts.
-
B.
Hawthorne station
Hawthorne station is a commuter rail stop in Mount Pleasant, New York, serving passengers on the Metro-North Railroad’s Harlem Line.
-
C.
Quincy Adams station
Quincy Adams station is a rapid transit station on Boston's MBTA Red Line serving the city of Quincy, Massachusetts.
-
D.
Belmont station
Belmont station is a commuter rail stop in Downers Grove, Illinois, served by Metra’s BNSF Railway Line connecting the suburb to downtown Chicago.
-
E.
Belmont station
Belmont station is a major Chicago Transit Authority 'L' station on the North Side that serves as a key transfer point between multiple rapid transit lines.
- F. None of above. chosen
Provenance (5 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fa043c81909c900e394a5972f9 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77581e2a88190ad2ec9855772c6a5 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7768f12648190a8e9855af2458a94 |
completed | March 28, 2026, 6:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c776bdf56c8190a9fa83d6f2697f1b |
completed | March 28, 2026, 6:35 a.m. |
Created at: March 27, 2026, 2:35 p.m.