Triple
T12459633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Memorial Tournament |
E297754
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Dublin, Ohio |
E403147
|
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: Dublin, Ohio | Statement: [The Memorial Tournament, locatedIn, Dublin, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dublin, Ohio Context triple: [The Memorial Tournament, locatedIn, Dublin, Ohio]
-
A.
Dublin, Ohio
chosen
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
B.
Dresden, Ohio
Dresden, Ohio is a small village in Muskingum County known historically as the original home of the Longaberger Company and its handcrafted baskets.
-
C.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
D.
Geneva, Ohio
Geneva, Ohio is a small city in northeastern Ohio best known as the birthplace of automobile pioneer Ransom E. Olds.
-
E.
Wilmington, Ohio
Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db465c48190bcfaf22f25ef8947 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b2fc8f88190b9bd2887149e3d68 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 8, 2026, 9:56 p.m.