Triple
T38215852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center on Finance, Law, and Policy |
E1010683
|
entity |
| Predicate | worksAtIntersectionOf |
P179238
|
FINISHED |
| Object | financial systems and law |
—
|
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: financial systems and law | Statement: [Center on Finance, Law, and Policy, worksAtIntersectionOf, financial systems and law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksAtIntersectionOf Context triple: [Center on Finance, Law, and Policy, worksAtIntersectionOf, financial systems and law]
-
A.
locatedAtIntersectionOf
Indicates that something is situated at the point where two or more paths, roads, or boundaries cross or meet.
-
B.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
C.
worksNear
Indicates that one entity performs its work or duties in close physical proximity to another entity.
-
D.
worksAcross
chosen
Indicates that an entity operates, functions, or is effective in multiple distinct contexts, locations, systems, or domains.
-
E.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:30 p.m.