Triple
T5472837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisters of Mercy |
E122875
|
entity |
| Predicate | socialServiceWork |
P21593
|
FINISHED |
| Object | shelters |
—
|
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: shelters | Statement: [Sisters of Mercy, socialServiceWork, shelters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialServiceWork Context triple: [Sisters of Mercy, socialServiceWork, shelters]
-
A.
socialServiceWing
Indicates that an entity functions as or is associated with a division or unit dedicated to providing social services or welfare-related activities.
-
B.
socialContribution
chosen
Indicates that an entity engages in actions or provides resources that benefit society or a community beyond its own direct interests.
-
C.
socialCustom
Indicates a culturally shared, customary way of behaving or interacting that is expected or considered appropriate within a particular social group or context.
-
D.
socialCenter
Indicates that a place functions as a primary gathering point or hub for social interaction and community activities.
-
E.
socialMedia
Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9230d6d88190a9ac48a4488e1754 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.