Triple
T573283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Metro |
E13707
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
New Tram
New Tram is an automated guideway transit line in Osaka, Japan, operated as part of the Osaka Metro system.
|
E71899
|
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: New Tram | Statement: [Osaka Metro, hasPart, New Tram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Tram Context triple: [Osaka Metro, hasPart, New Tram]
-
A.
MAX Light Rail
MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
-
B.
M5000 tram
The M5000 tram is a modern light-rail vehicle used across the Manchester Metrolink network as its primary fleet for urban passenger services.
-
C.
O-Train
The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
-
D.
Edinburgh Trams
Edinburgh Trams is a modern light rail system in Edinburgh, Scotland, providing urban and suburban passenger transport across the city.
-
E.
DART Light Rail
DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
- 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: New Tram Triple: [Osaka Metro, hasPart, New Tram]
Generated description
New Tram is an automated guideway transit line in Osaka, Japan, operated as part of the Osaka Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: New Tram Target entity description: New Tram is an automated guideway transit line in Osaka, Japan, operated as part of the Osaka Metro system.
-
A.
MAX Light Rail
MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
-
B.
M5000 tram
The M5000 tram is a modern light-rail vehicle used across the Manchester Metrolink network as its primary fleet for urban passenger services.
-
C.
O-Train
The O-Train is Ottawa’s urban rail transit system, providing light rail service across key corridors of Canada’s capital city.
-
D.
Edinburgh Trams
Edinburgh Trams is a modern light rail system in Edinburgh, Scotland, providing urban and suburban passenger transport across the city.
-
E.
DART Light Rail
DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4ae0988190bdd0ad428b784d85 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ff4c3df48190a886a8d3c633d417 |
completed | March 2, 2026, 3:09 a.m. |
| NEDg | Description generation | batch_69a4ffcad6e08190938018ade5bc5d67 |
completed | March 2, 2026, 3:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5001de9c481909d43c001028c922c |
completed | March 2, 2026, 3:12 a.m. |
Created at: March 1, 2026, 7:33 p.m.