Triple
T655505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Briggs v. Elliott |
E11638
|
entity |
| Predicate | laterSought |
P17988
|
FINISHED |
| Object | desegregation of public schools |
—
|
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: desegregation of public schools | Statement: [Briggs v. Elliott, laterSought, desegregation of public schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterSought Context triple: [Briggs v. Elliott, laterSought, desegregation of public schools]
-
A.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
B.
laterDeployedIn
Indicates that one entity was deployed or put into operation in a particular context, location, or system at a later time than another.
-
C.
locatedAfter
Indicates that one entity is positioned later than another along a defined sequence, order, or spatial/temporal axis.
-
D.
laterPerception
Indicates that one entity’s perception, awareness, or observation of something occurs after another specified time, event, or perception.
-
E.
laterReception
Indicates that one entity receives or accepts something at a time that is later than when another related reception or event occurs.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4d57688190a9515ac494a97b22 |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d121cec81909986c91291bb4ca8 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49ee356c0819085e2e82831cf1360 |
completed | March 1, 2026, 8:17 p.m. |
Created at: March 1, 2026, 7:36 p.m.