Triple
T22397240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambrook School |
E553666
|
entity |
| Predicate | servesSocialGroup |
P93846
|
FINISHED |
| Object | children from affluent families |
—
|
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: children from affluent families | Statement: [Lambrook School, servesSocialGroup, children from affluent families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesSocialGroup Context triple: [Lambrook School, servesSocialGroup, children from affluent families]
-
A.
servesGroup
chosen
Indicates that one entity provides services or functions in support of a particular group or collective.
-
B.
socialGroupBenefited
Indicates that a particular social group gains an advantage, improvement, or positive impact as a result of an action, event, or resource.
-
C.
socialGroupInvolved
Indicates that a particular social group participates in, is affected by, or is otherwise involved in the specified event or situation.
-
D.
hasSocialGroup
Indicates that an entity belongs to, is associated with, or participates in a particular social group or community.
-
E.
servesMember
Indicates that one entity provides services or assistance to another entity that is considered its member.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585f67108190b8d3f23eaa0ed120 |
completed | April 29, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.