Triple
T27463361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Landry of Paris |
E693111
|
entity |
| Predicate | charitableActivities |
P11348
|
FINISHED |
| Object | feeding the poor |
—
|
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: feeding the poor | Statement: [Saint Landry of Paris, charitableActivities, feeding the poor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: charitableActivities Context triple: [Saint Landry of Paris, charitableActivities, feeding the poor]
-
A.
areaOfCharitableActivity
Indicates the specific domain or field in which a charitable organization conducts its activities or provides its services.
-
B.
charityCategory
Indicates the specific type or classification of charitable activity or purpose associated with an entity.
-
C.
refersToCharitableActivity
Indicates that one entity is referencing, describing, or is associated with a charitable activity or act of giving.
-
D.
philanthropicInitiative
chosen
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.
-
E.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 12:51 p.m.