Triple
T10719838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparta, Mississippi |
E252786
|
entity |
| Predicate | usedToExplore |
P11614
|
FINISHED |
| Object | civil rights issues |
—
|
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: civil rights issues | Statement: [Sparta, Mississippi, usedToExplore, civil rights issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToExplore Context triple: [Sparta, Mississippi, usedToExplore, civil rights issues]
-
A.
exploredWith
Indicates that one entity explored something together with another entity as companions or partners in the exploration.
-
B.
exploredDuring
Indicates that an entity was explored or investigated within the time frame or context of a specified event or period.
-
C.
hasExploration
Indicates that one entity engages in, is associated with, or possesses an activity or process of exploration in relation to another entity or context.
-
D.
explored
Indicates that an entity has traveled through, examined, or investigated another entity or area, typically to discover or learn more about it.
-
E.
visitedFor
chosen
Indicates that one entity traveled to or attended another entity (such as a place, person, or event) for a specific purpose or reason.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3722ec8190b2d78a5630bf6efc |
completed | April 9, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:13 p.m.