Triple
T5026584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7th Avenue station (BMT Brighton Line) |
E113189
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
R29
R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
|
E486275
|
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: R29 | Statement: [7th Avenue station (BMT Brighton Line), hasStationCode, R29]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R29 Context triple: [7th Avenue station (BMT Brighton Line), hasStationCode, R29]
-
A.
R129
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
-
B.
R2
R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
-
C.
R230
The R230 is the fifth-generation Mercedes-Benz SL-Class, a luxury two-seat roadster produced in the 2000s known for its retractable hardtop and advanced technology features.
-
D.
R91
R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
-
E.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
- 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: R29 Triple: [7th Avenue station (BMT Brighton Line), hasStationCode, R29]
Generated description
R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R29 Target entity description: R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
-
A.
R129
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
-
B.
R2
R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
-
C.
R230
The R230 is the fifth-generation Mercedes-Benz SL-Class, a luxury two-seat roadster produced in the 2000s known for its retractable hardtop and advanced technology features.
-
D.
R91
R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
-
E.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738c3aac81908fb6a5c70c97a394 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be928919c08190be76549e1a41f61e |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be93d0e94c819094b745f611ea6cee |
completed | March 21, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be942f29488190adfc096c8c5781ac |
completed | March 21, 2026, 12:50 p.m. |
Created at: March 20, 2026, 1:36 p.m.