Triple
T10537642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogers Avenue station |
E248612
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
ROG
ROG is the station code for Rogers Avenue station, a stop on the New York City Subway system.
|
E869855
|
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: ROG | Statement: [Rogers Avenue station, hasStationCode, ROG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROG Context triple: [Rogers Avenue station, hasStationCode, ROG]
-
A.
ROG Strix
ROG Strix is a premium ASUS gaming hardware line known for its high-performance graphics cards, motherboards, laptops, and distinctive RGB-focused designs.
-
B.
TUF Gaming
TUF Gaming is ASUS’s durability-focused gaming hardware line known for rugged design, military-grade components, and reliable performance for PC gamers.
-
C.
Lenovo Legion
Lenovo Legion is Lenovo’s gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
-
D.
Alienware
Alienware is a Dell-owned brand known for its high-performance, gaming-focused PCs and laptops featuring distinctive, futuristic designs.
-
E.
HP Omen
HP Omen is HP's gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
- 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: ROG Triple: [Rogers Avenue station, hasStationCode, ROG]
Generated description
ROG is the station code for Rogers Avenue station, a stop on the New York City Subway system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ROG Target entity description: ROG is the station code for Rogers Avenue station, a stop on the New York City Subway system.
-
A.
ROG Strix
ROG Strix is a premium ASUS gaming hardware line known for its high-performance graphics cards, motherboards, laptops, and distinctive RGB-focused designs.
-
B.
TUF Gaming
TUF Gaming is ASUS’s durability-focused gaming hardware line known for rugged design, military-grade components, and reliable performance for PC gamers.
-
C.
Lenovo Legion
Lenovo Legion is Lenovo’s gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
-
D.
Alienware
Alienware is a Dell-owned brand known for its high-performance, gaming-focused PCs and laptops featuring distinctive, futuristic designs.
-
E.
HP Omen
HP Omen is HP's gaming-focused brand of high-performance laptops, desktops, and accessories designed for PC gamers.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a56133c819088285522e64831f7 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e5b827881909e87651a88976f18 |
completed | April 10, 2026, 2:51 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:31 p.m.