Triple
T8410076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narita Airport Terminal 2·3 Station |
E198599
|
entity |
| Predicate | servedByService |
P1294
|
FINISHED |
| Object |
Cityliner
Cityliner is a limited express train service in Japan that connects central Tokyo with Narita International Airport.
|
E731497
|
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: Cityliner | Statement: [Narita Airport Terminal 2·3 Station, servedByService, Cityliner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cityliner Context triple: [Narita Airport Terminal 2·3 Station, servedByService, Cityliner]
-
A.
City Line
City Line is a residential neighborhood in eastern Brooklyn, New York City, located near the borough’s border with Queens.
-
B.
City Line
City Line is a suburban railway route serving various districts within Cardiff, Wales, as part of the local commuter rail network.
-
C.
City Line
City Line is a suburban and regional rail route serving Liverpool and surrounding areas as part of the Merseyrail and wider North West rail network.
-
D.
Silverliner
Silverliner is a series of electric multiple-unit commuter railcars used by several transit agencies in the Philadelphia region over multiple generations.
-
E.
L.A. Express
L.A. Express was a prominent 1970s jazz-fusion band best known for serving as Joni Mitchell’s touring and recording ensemble during her mid-’70s electric period.
- 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: Cityliner Triple: [Narita Airport Terminal 2·3 Station, servedByService, Cityliner]
Generated description
Cityliner is a limited express train service in Japan that connects central Tokyo with Narita International Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cityliner Target entity description: Cityliner is a limited express train service in Japan that connects central Tokyo with Narita International Airport.
-
A.
City Line
City Line is a residential neighborhood in eastern Brooklyn, New York City, located near the borough’s border with Queens.
-
B.
City Line
City Line is a suburban railway route serving various districts within Cardiff, Wales, as part of the local commuter rail network.
-
C.
City Line
City Line is a suburban and regional rail route serving Liverpool and surrounding areas as part of the Merseyrail and wider North West rail network.
-
D.
Silverliner
Silverliner is a series of electric multiple-unit commuter railcars used by several transit agencies in the Philadelphia region over multiple generations.
-
E.
L.A. Express
L.A. Express was a prominent 1970s jazz-fusion band best known for serving as Joni Mitchell’s touring and recording ensemble during her mid-’70s electric period.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8317045c8190b69cc99854b633be |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0317cb188190b207bcaffb629a75 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce07808098819087e896b87320aefd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08759e1c81909c96caf3b571e1ca |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:05 p.m.