Triple
T874459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swami Vivekananda |
E18884
|
entity |
| Predicate | yearOfChicagoAddress |
P21138
|
FINISHED |
| Object | 1893 |
—
|
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: 1893 | Statement: [Swami Vivekananda, yearOfChicagoAddress, 1893]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfChicagoAddress Context triple: [Swami Vivekananda, yearOfChicagoAddress, 1893]
-
A.
designatedChicagoLandmark
Indicates that an entity has been officially recognized and designated as a Chicago landmark.
-
B.
relocationYear
Indicates the year in which an entity was moved or transferred from one location to another.
-
C.
settledInYear
Indicates the specific calendar year in which an entity became established, inhabited, or formally settled in a particular place or status.
-
D.
yearBuilt
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
E.
designationYear
Indicates the year in which something was formally designated, assigned, or given an official status.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac992d8c819088800f5a713fa7a4 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8b9b5c81909ac71904f8b8b5cd |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4abb157d08190a7d7281eb3f1b788 |
completed | March 1, 2026, 9:12 p.m. |
Created at: March 1, 2026, 7:39 p.m.