Triple
T4948924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L. F. Driscoll Company |
E111119
|
entity |
| Predicate | roleInCitizensBankPark |
P45817
|
FINISHED |
| Object | general contractor |
—
|
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: general contractor | Statement: [L. F. Driscoll Company, roleInCitizensBankPark, general contractor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCitizensBankPark Context triple: [L. F. Driscoll Company, roleInCitizensBankPark, general contractor]
-
A.
roleInAttraction
chosen
Indicates the specific function or position an entity holds within the context of a particular attraction or point of interest.
-
B.
ownsSportsVenue
Indicates that one entity possesses legal ownership or controlling property rights over a sports venue used for athletic or sporting events.
-
C.
primaryRoleInPark
Indicates the main function or responsibility an entity has within a particular park.
-
D.
roleAtSportsTeam
Indicates the specific position or function an individual holds within a sports team.
-
E.
associatedWithBallpark
Indicates that an entity has a relationship or connection to a specific ballpark, such as location, operation, or affiliation.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7166bb6c8190a40775ac8bb723a8 |
completed | March 20, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.