Triple
T7358154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOH |
E169677
|
entity |
| Predicate | leagueCodeContext |
P36673
|
FINISHED |
| Object | NBA box scores |
—
|
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: NBA box scores | Statement: [NOH, leagueCodeContext, NBA box scores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueCodeContext Context triple: [NOH, leagueCodeContext, NBA box scores]
-
A.
leagueCode
chosen
Indicates the specific league identifier or code associated with an entity within a sports or competition hierarchy.
-
B.
leagueContext
Indicates the broader league or competition setting within which the relationship or action takes place.
-
C.
countryLeagueRepresents
Indicates that a particular league serves as the official representative or embodiment of a country in a given sport or competitive context.
-
D.
sportCode
Indicates the specific sport associated with or classified for an entity, typically via a standardized code or identifier.
-
E.
leagueType
Indicates the classification or category of a league within a broader organizational or competitive structure.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.