Triple
T6094640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Mark’s School (Massachusetts) |
E135846
|
entity |
| Predicate | isFeePaying |
P68080
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [St. Mark’s School (Massachusetts), isFeePaying, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFeePaying Context triple: [St. Mark’s School (Massachusetts), isFeePaying, true]
-
A.
canBePaidTo
Indicates that one entity is allowed or able to transfer payment to another entity.
-
B.
isPermissionless
Indicates that an action, process, or system can be accessed or participated in by anyone without requiring prior approval or authorization from a central authority.
-
C.
feeUnit
Indicates the unit of measurement or currency in which a fee amount is expressed.
-
D.
isBillingAuthorityFor
Indicates that one entity has the official responsibility and authority to issue bills or invoices to another entity or on its behalf.
-
E.
isFedBy
Indicates that one entity receives nourishment, food, or sustenance from another entity.
- F. None of above. chosen
Provenance (4 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9516ec819093e94ee8d3244e1b |
completed | March 22, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.