Triple
T6000313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell Station, California |
E133577
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Bell Station
Bell Station is a small unincorporated community in Santa Clara County, California.
|
E560587
|
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: Bell Station | Statement: [Bell Station, California, hasName, Bell Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bell Station Context triple: [Bell Station, California, hasName, Bell Station]
-
A.
Bell Station
Bell Station is a commuter rail stop in Texas served by the Trinity Railway Express line connecting Dallas and Fort Worth.
-
B.
Savannah station
Savannah station is a passenger rail station in Savannah, Georgia, serving as a key stop and terminus for Amtrak services in the southeastern United States.
-
C.
Darien station
Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
-
D.
Patterson station
Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem Line.
-
E.
Pattison Station
Pattison Station is the former name of NRG Station, a subway stop on Philadelphia's Broad Street Line serving the South Philadelphia Sports Complex.
- 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: Bell Station Triple: [Bell Station, California, hasName, Bell Station]
Generated description
Bell Station is a small unincorporated community in Santa Clara County, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bell Station Target entity description: Bell Station is a small unincorporated community in Santa Clara County, California.
-
A.
Bell Station
Bell Station is a commuter rail stop in Texas served by the Trinity Railway Express line connecting Dallas and Fort Worth.
-
B.
Savannah station
Savannah station is a passenger rail station in Savannah, Georgia, serving as a key stop and terminus for Amtrak services in the southeastern United States.
-
C.
Darien station
Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
-
D.
Patterson station
Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem Line.
-
E.
Pattison Station
Pattison Station is the former name of NRG Station, a subway stop on Philadelphia's Broad Street Line serving the South Philadelphia Sports Complex.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee5e7bc8190aaa87605fa7b102e |
completed | March 22, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1088366f08190bd65374d7a44fbc8 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c1094d6d408190abde0d2e582c15a5 |
completed | March 23, 2026, 9:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c109c333208190b90911e0cab58377 |
completed | March 23, 2026, 9:37 a.m. |
Created at: March 22, 2026, 4:05 p.m.