Triple
T25536894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Sievers |
E640066
|
entity |
| Predicate | teamCityAssociatedWith |
P7424
|
FINISHED |
| Object | St. Louis, Missouri |
—
|
NE NERFINISHED |
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: St. Louis, Missouri | Statement: [Roy Sievers, teamCityAssociatedWith, St. Louis, Missouri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCityAssociatedWith Context triple: [Roy Sievers, teamCityAssociatedWith, St. Louis, Missouri]
-
A.
teamCity
chosen
Indicates that a particular city serves as the home base or associated location for a given team.
-
B.
cityAssociatedWith
Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
-
C.
teamCityOfFranchiseOwned
Indicates that a particular city serves as the home or base city for a sports franchise that is owned by a specified owner.
-
D.
projectCity
Indicates that a project is located in, associated with, or primarily takes place within a specific city.
-
E.
associatedCityCode
Indicates that an entity is linked or related to a specific city identified by its code.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8911fb08190a234a87eaeee9f53 |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 3:23 p.m.