Triple
T3091408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AirTrain Newark |
E64489
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Terminal B Station
Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
|
E329198
|
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: Terminal B Station | Statement: [AirTrain Newark, hasStation, Terminal B Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal B Station Context triple: [AirTrain Newark, hasStation, Terminal B Station]
-
A.
Terminal A Station
Terminal A Station is an AirTrain Newark stop serving passengers traveling to and from Terminal A at Newark Liberty International Airport.
-
B.
Tabata Station
Tabata Station is a railway station in Tokyo, Japan, served by JR East and known as one of the stops on the busy Yamanote Line.
-
C.
Jujo Station
Jujo Station is a railway station in Kita, Tokyo, Japan, operated by JR East and known for serving the busy Saikyo Line.
-
D.
Recto station
Recto station is an elevated terminal station of Manila’s LRT Line 2 located in the busy commercial district of Recto Avenue in the Philippines.
-
E.
The Station
The Station is a painting by British artist L. S. Lowry, known for its distinctive depiction of industrial urban life with stylized figures and stark architectural forms.
- 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: Terminal B Station Triple: [AirTrain Newark, hasStation, Terminal B Station]
Generated description
Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terminal B Station Target entity description: Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
-
A.
Terminal A Station
Terminal A Station is an AirTrain Newark stop serving passengers traveling to and from Terminal A at Newark Liberty International Airport.
-
B.
Tabata Station
Tabata Station is a railway station in Tokyo, Japan, served by JR East and known as one of the stops on the busy Yamanote Line.
-
C.
Jujo Station
Jujo Station is a railway station in Kita, Tokyo, Japan, operated by JR East and known for serving the busy Saikyo Line.
-
D.
Recto station
Recto station is an elevated terminal station of Manila’s LRT Line 2 located in the busy commercial district of Recto Avenue in the Philippines.
-
E.
The Station
The Station is a painting by British artist L. S. Lowry, known for its distinctive depiction of industrial urban life with stylized figures and stark architectural forms.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20eeee88190a5eecfce10e3848c |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f5115708190bc4af2a26d43014f |
completed | March 12, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69b211a7d39881909a59e67ceb72512a |
completed | March 12, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b211fa51b081909c0655361e84b6b3 |
completed | March 12, 2026, 1:08 a.m. |
Created at: March 8, 2026, 3:03 p.m.