Triple
T36479512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan Stars FC |
E898769
|
entity |
| Predicate | homeRivalryName |
P18267
|
FINISHED |
| Object | Detroit metropolitan area soccer rivalry |
—
|
LITERAL 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: Detroit metropolitan area soccer rivalry | Statement: [Michigan Stars FC, homeRivalryName, Detroit metropolitan area soccer rivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeRivalryName Context triple: [Michigan Stars FC, homeRivalryName, Detroit metropolitan area soccer rivalry]
-
A.
hasLocalRivalryVenueWith
Indicates that two entities share a venue or location where a local rivalry between them is regularly contested or expressed.
-
B.
hasHomeStadiumInRivalry
Indicates that one entity’s home stadium is the venue used when it participates in a rivalry with another entity.
-
C.
countryOfRivalry
Indicates that one entity is a country with which another entity has a relationship of rivalry or adversarial competition.
-
D.
homeStadiumTeam
Indicates that a particular stadium serves as the designated home venue for a specific sports team.
-
E.
hasLocalRivalry
chosen
Indicates that there is an ongoing competitive or adversarial relationship between entities that are geographically close or share the same local area.
- F. None of above.
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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.