Triple
T7765034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenri |
E176121
|
entity |
| Predicate | hasSportsFacility |
P105
|
FINISHED |
| Object |
Tenri Stadium
Tenri Stadium is a multi-purpose sports venue in Tenri, Nara Prefecture, Japan, primarily used for athletics and football matches.
|
E687113
|
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: Tenri Stadium | Statement: [Tenri, hasSportsFacility, Tenri Stadium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenri Stadium Context triple: [Tenri, hasSportsFacility, Tenri Stadium]
-
A.
Loveless Stadium
Loveless Stadium is the home softball venue for the University of North Texas Mean Green athletic program.
-
B.
Maishima Arena
Maishima Arena is an indoor sports venue in Osaka, Japan, primarily known for hosting professional basketball games and other sporting events.
-
C.
Setsoto Stadium
Setsoto Stadium is a multi-purpose national sports venue in Maseru, Lesotho, primarily used for football matches and major public events.
-
D.
Onikan Stadium
Onikan Stadium is a historic multi-purpose sports arena located on Lagos Island in Lagos, Nigeria.
-
E.
Saitama Super Arena
Saitama Super Arena is a large, multi-purpose indoor stadium in Saitama, Japan, known for hosting major sports events, concerts, and international entertainment shows.
- 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: Tenri Stadium Triple: [Tenri, hasSportsFacility, Tenri Stadium]
Generated description
Tenri Stadium is a multi-purpose sports venue in Tenri, Nara Prefecture, Japan, primarily used for athletics and football matches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tenri Stadium Target entity description: Tenri Stadium is a multi-purpose sports venue in Tenri, Nara Prefecture, Japan, primarily used for athletics and football matches.
-
A.
Loveless Stadium
Loveless Stadium is the home softball venue for the University of North Texas Mean Green athletic program.
-
B.
Maishima Arena
Maishima Arena is an indoor sports venue in Osaka, Japan, primarily known for hosting professional basketball games and other sporting events.
-
C.
Setsoto Stadium
Setsoto Stadium is a multi-purpose national sports venue in Maseru, Lesotho, primarily used for football matches and major public events.
-
D.
Onikan Stadium
Onikan Stadium is a historic multi-purpose sports arena located on Lagos Island in Lagos, Nigeria.
-
E.
Saitama Super Arena
Saitama Super Arena is a large, multi-purpose indoor stadium in Saitama, Japan, known for hosting major sports events, concerts, and international entertainment shows.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7043279748190b30882e9cc6cca54 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7de604c81908f503e1553795d38 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8b75b848190a67de2040d563f86 |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c941814081909d299df5cd714c71 |
completed | March 29, 2026, 6:40 a.m. |
Created at: March 27, 2026, 4:09 p.m.