Triple
T15460735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPTA Fox Chase Line |
E371890
|
entity |
| Predicate | primaryStation |
P394
|
FINISHED |
| Object |
Burholme station
Burholme station is a commuter rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Fox Chase Line.
|
E1158789
|
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: Burholme station | Statement: [SEPTA Fox Chase Line, primaryStation, Burholme station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burholme station Context triple: [SEPTA Fox Chase Line, primaryStation, Burholme station]
-
A.
Helenelund station
Helenelund station is a commuter rail station in the Helenelund district of Sollentuna, north of central Stockholm, Sweden.
-
B.
Flintholm station
Flintholm station is a major Copenhagen transport hub that serves both the Metro and S-train networks, facilitating easy transfers between multiple lines.
-
C.
Baggeby station
Baggeby station is a light rail stop on the Lidingöbanan in Lidingö, part of the Stockholm public transport network in Sweden.
-
D.
Eiksmarka station
Eiksmarka station is a suburban rapid transit stop on the Oslo Metro network serving the Eiksmarka area in the western outskirts of Oslo, Norway.
-
E.
Lindevang Station
Lindevang Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
- 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: Burholme station Triple: [SEPTA Fox Chase Line, primaryStation, Burholme station]
Generated description
Burholme station is a commuter rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Fox Chase Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burholme station Target entity description: Burholme station is a commuter rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Fox Chase Line.
-
A.
Helenelund station
Helenelund station is a commuter rail station in the Helenelund district of Sollentuna, north of central Stockholm, Sweden.
-
B.
Flintholm station
Flintholm station is a major Copenhagen transport hub that serves both the Metro and S-train networks, facilitating easy transfers between multiple lines.
-
C.
Baggeby station
Baggeby station is a light rail stop on the Lidingöbanan in Lidingö, part of the Stockholm public transport network in Sweden.
-
D.
Eiksmarka station
Eiksmarka station is a suburban rapid transit stop on the Oslo Metro network serving the Eiksmarka area in the western outskirts of Oslo, Norway.
-
E.
Lindevang Station
Lindevang Station is a Copenhagen Metro station serving the Frederiksberg district of Copenhagen, Denmark.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f17663c8190b995c7c3129c90d6 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cfd76cc8190b3d8148ffe872887 |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2ead88b0819093046c5f0dae8674 |
completed | May 9, 2026, 12:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2f4a404c81909a391d3d2cba1ee8 |
completed | May 9, 2026, 12:57 p.m. |
Created at: April 10, 2026, 3:32 a.m.