Triple
T2655567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The U |
E54600
|
entity |
| Predicate | homeStadiumOf |
P2696
|
FINISHED |
| Object | Subaru Park |
E55999
|
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: Subaru Park | Statement: [The U, homeStadiumOf, Subaru Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subaru Park Context triple: [The U, homeStadiumOf, Subaru Park]
-
A.
Subaru Park
chosen
Subaru Park is a soccer-specific stadium in Chester, Pennsylvania, best known as the home venue of Major League Soccer’s Philadelphia Union.
-
B.
Shiba Park
Shiba Park is a historic public park in Tokyo known for its views of Tokyo Tower, temples, and seasonal greenery.
-
C.
Shukugawa Park
Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
-
D.
Toneri Park
Toneri Park is a large public park in Adachi, Tokyo, known for its spacious lawns, ponds, sports facilities, and seasonal flower displays.
-
E.
Odori Park
Odori Park is a central urban park in Sapporo, Japan, famous for hosting major seasonal events such as the Sapporo Snow Festival and serving as a key green space and gathering spot in the city.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd933ec008190aef1442460c4cfbc |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d325ec819097d7f80a28343687 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.