Triple
T29891565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethir Neechal |
E759164
|
entity |
| Predicate | hasSportTheme |
P15165
|
FINISHED |
| Object | marathon running |
—
|
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: marathon running | Statement: [Ethir Neechal, hasSportTheme, marathon running]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportTheme Context triple: [Ethir Neechal, hasSportTheme, marathon running]
-
A.
hasFootballTheme
Indicates that something is characterized by or centered around the sport of football as a primary theme.
-
B.
hasBasketballTheme
Indicates that something is characterized by or incorporates elements related to basketball in its content, style, or subject matter.
-
C.
includesSport
chosen
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
D.
hasSportingContext
Indicates that something is associated with, occurs within, or is relevant to a particular sporting or athletic context.
-
E.
hasSportsFunction
Indicates that an entity serves a role, purpose, or function related to sports activities or sports-related operations.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 29, 2026, 6:02 p.m.