Triple
T2376884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA on TNT |
E46217
|
entity |
| Predicate | formatIncludes |
P33419
|
FINISHED |
| Object | live NBA game broadcasts |
—
|
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: live NBA game broadcasts | Statement: [NBA on TNT, formatIncludes, live NBA game broadcasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatIncludes Context triple: [NBA on TNT, formatIncludes, live NBA game broadcasts]
-
A.
includeFormat
chosen
Indicates that one entity contains or specifies the format or representation type of another entity.
-
B.
processIncludes
Indicates that a process contains, encompasses, or incorporates another process or subprocess as part of its overall execution or structure.
-
C.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
D.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.