Triple
T5375005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakori train robbery |
E108938
|
entity |
| Predicate | executionDateOfKeyConvicts |
P63620
|
FINISHED |
| Object | 19 December 1927 |
—
|
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: 19 December 1927 | Statement: [Kakori train robbery, executionDateOfKeyConvicts, 19 December 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executionDateOfKeyConvicts Context triple: [Kakori train robbery, executionDateOfKeyConvicts, 19 December 1927]
-
A.
dateOfConviction
Indicates the specific calendar date on which a person or entity was formally found guilty of an offense.
-
B.
dateOfNotableIncarceration
Indicates the specific date on which an entity began a notable or historically significant period of incarceration.
-
C.
dateOfImprisonmentStart
Indicates the date on which an entity’s period of imprisonment begins.
-
D.
convictedIndividual
Indicates that an individual has been found guilty of a crime or offense through a formal legal process and has received a conviction.
-
E.
dateOfSentence
Indicates the specific calendar date on which a formal sentence (such as a legal or judicial decision) is issued or pronounced.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd887f5b0081909456992d1a071928 |
completed | March 20, 2026, 5:48 p.m. |
Created at: March 20, 2026, 2:03 p.m.