Triple
T7039853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR-O06 |
E163481
|
entity |
| Predicate | assignedTo |
P3151
|
FINISHED |
| Object | Osakajokoen Station |
E30525
|
NE FINISHED |
How this triple was built (2 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: Osakajokoen Station | Statement: [JR-O06, assignedTo, Osakajokoen Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osakajokoen Station Context triple: [JR-O06, assignedTo, Osakajokoen Station]
-
A.
Osakajokoen Station
chosen
Osakajokoen Station is a railway station in Osaka, Japan that serves as a primary access point for visitors to Osaka Castle and its surrounding park.
-
B.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
-
C.
Rautatientori station
Rautatientori station is a central underground station in the Helsinki Metro system located beneath Helsinki’s main railway square, serving as a major hub for public transportation in the city.
-
D.
Pasila railway station
Pasila railway station is a major rail hub in Helsinki, Finland, serving as a key junction for local and long-distance trains just north of the city center.
-
E.
Santolan station
Santolan station is an elevated terminal station of Manila's LRT Line 2 serving commuters in the eastern part of Metro Manila, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e22426508190ad7a17d14a086a3e |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7943fe4fc819087bbcc724deed80a |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:36 p.m.