Triple
T35741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland |
E707
|
entity |
| Predicate | stateTeamSport |
P330
|
FINISHED |
| Object | lacrosse |
—
|
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: lacrosse | Statement: [Maryland, stateTeamSport, lacrosse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateTeamSport Context triple: [Maryland, stateTeamSport, lacrosse]
-
A.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
-
B.
hasSportsTeam
chosen
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
C.
teamDivision
Indicates how a larger team is split into smaller subgroups or units for organization or collaboration.
-
D.
hasMajorSportsTeam
Indicates that a location is home to at least one prominent, officially recognized sports team, typically in a major professional or collegiate league.
-
E.
league
Indicates that an organization or team participates in, is a member of, or is associated with a particular sports or competitive league.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24bb753f081909cd8b25cfb8e08af |
completed | Feb. 28, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69a24ab4a6908190b6f355415ffe7948 |
completed | Feb. 28, 2026, 1:53 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.