Triple
T3448919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Marathon |
E72744
|
entity |
| Predicate | charityFundraising |
P8929
|
FINISHED |
| Object | major component of race participation |
—
|
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: major component of race participation | Statement: [New York City Marathon, charityFundraising, major component of race participation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charityFundraising Context triple: [New York City Marathon, charityFundraising, major component of race participation]
-
A.
charityComponent
chosen
Indicates that one entity functions as a charitable element, feature, or part within another entity or larger arrangement.
-
B.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
-
C.
philanthropicInitiative
Indicates an action or relationship where an entity undertakes or supports activities intended to promote the welfare of others, typically through charitable or socially beneficial efforts.
-
D.
charityNumber
Indicates that an entity is associated with a specific registered charity identification number.
-
E.
charityPointsSystem
Indicates a system where charitable actions or donations are tracked and converted into points, reflecting the extent of one’s charitable contributions.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba71f4a4819089d08b871cc9b16f |
completed | March 8, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.