Triple
T24075900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument to Columbus |
E596358
|
entity |
| Predicate | controversialTopic |
P57563
|
FINISHED |
| Object | legacy of colonialism |
—
|
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: legacy of colonialism | Statement: [Monument to Columbus, controversialTopic, legacy of colonialism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controversialTopic Context triple: [Monument to Columbus, controversialTopic, legacy of colonialism]
-
A.
controversialBecause
Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
-
B.
controversy
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
-
C.
controversyType
Indicates the specific kind or category of controversy associated with an entity or situation.
-
D.
debateTopic
chosen
Indicates that one entity serves as the subject or issue being discussed or argued about in a debate involving another entity.
-
E.
controversialStatus
Indicates that the subject is associated with debate, dispute, or disagreement regarding its acceptance, validity, or appropriateness.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1dd874819087120b06b90be485 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:42 p.m.