Triple
T452038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother Teresa |
E7150
|
entity |
| Predicate | foundingDateOfFoundedOrganization |
P41
|
FINISHED |
| Object | 1950-10-07 |
—
|
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: 1950-10-07 | Statement: [Mother Teresa, foundingDateOfFoundedOrganization, 1950-10-07]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundingDateOfFoundedOrganization Context triple: [Mother Teresa, foundingDateOfFoundedOrganization, 1950-10-07]
-
A.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
B.
foundedOn
chosen
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
C.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
D.
foundedOrganization
Indicates that an entity established or created an organization.
-
E.
foundingOrganization
Indicates the organization that established or created another entity, such as a company, institution, or project.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef854f7481909dc2207faf0327ec |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede3187c8190a7ced078f0ec3476 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.