Triple
T2597728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umaid Bhawan Palace |
E58270
|
entity |
| Predicate | purposeOfConstruction |
P40127
|
FINISHED |
| Object | employment generation during famine |
—
|
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: employment generation during famine | Statement: [Umaid Bhawan Palace, purposeOfConstruction, employment generation during famine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purposeOfConstruction Context triple: [Umaid Bhawan Palace, purposeOfConstruction, employment generation during famine]
-
A.
damPurpose
Indicates the primary function or intended use for which a dam has been constructed or is operated.
-
B.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
C.
excavationPurpose
Indicates that an excavation is carried out with a specific intended purpose or objective.
-
D.
constructionCharacteristic
Indicates a specific structural or material property that characterizes how something is built or constructed.
-
E.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4548b1081909d28f88ea5e14202 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:49 p.m.