Triple
T33520257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundling Hospital |
E858479
|
entity |
| Predicate | admittedChildrenFrom |
P95320
|
FINISHED |
| Object | London |
—
|
NE NERFINISHED |
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: London | Statement: [Foundling Hospital, admittedChildrenFrom, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admittedChildrenFrom Context triple: [Foundling Hospital, admittedChildrenFrom, London]
-
A.
adoptedChildrenFrom
Indicates a relationship where one entity has legally adopted children originating from another entity (such as a person, couple, or organization).
-
B.
adoptedChildren
Indicates that one entity has legally taken another entity as their child through adoption.
-
C.
includedChildren
Indicates that certain child entities are contained within, or form part of, a specified parent entity.
-
D.
admitsFrom
chosen
Indicates that one entity accepts or enrolls individuals coming from another specified source or institution.
-
E.
childrenWith
Indicates that two or more entities share one or more children together as parents or guardians.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:39 a.m.