Triple
T6929497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the color line |
E160395
|
entity |
| Predicate | aimedToBeDismantledBy |
P73726
|
FINISHED |
| Object | civil rights movement |
—
|
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 movement | Statement: [the color line, aimedToBeDismantledBy, civil rights movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimedToBeDismantledBy Context triple: [the color line, aimedToBeDismantledBy, civil rights movement]
-
A.
dismantledBy
Indicates that something has been taken apart, disassembled, or broken down by a particular agent or entity.
-
B.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
-
C.
demolishedAsPartOf
Indicates that one entity was demolished as a component or consequence of a larger demolition event or project involving another entity.
-
D.
demolished
Indicates that one entity completely destroyed or razed another entity, typically a structure or object, so that it no longer exists in its previous form.
-
E.
demolishedAfter
Indicates that one entity was demolished at a point in time later than the demolition of 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1f5fcc8190b43f53f90fc1821c |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:27 p.m.