Triple
T17234668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kesari Wada, Pune |
E418326
|
entity |
| Predicate | periodOfUseAsOffice |
P126489
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [Kesari Wada, Pune, periodOfUseAsOffice, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfUseAsOffice Context triple: [Kesari Wada, Pune, periodOfUseAsOffice, late 19th century]
-
A.
usedOfficeFor
Indicates that an entity made use of a particular office or office space for some purpose or activity.
-
B.
usedByOffice
Indicates that something is utilized, operated, or employed by an office or office-related entity.
-
C.
usedOffice
Indicates that an entity made use of or occupied a particular office or workplace.
-
D.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
E.
workUsedAs
Indicates that one work is employed or utilized in the creation, performance, or presentation of another work.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfa0a408190880804d463305867 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:39 a.m.