Triple
T3886652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaheed Diwas (Martyrs' Day) on 23 March in India |
E92957
|
entity |
| Predicate | yearOfExecution |
P51644
|
FINISHED |
| Object | 1931 |
—
|
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: 1931 | Statement: [Shaheed Diwas (Martyrs' Day) on 23 March in India, yearOfExecution, 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfExecution Context triple: [Shaheed Diwas (Martyrs' Day) on 23 March in India, yearOfExecution, 1931]
-
A.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
B.
yearOfPassage
Indicates the specific calendar year in which a law, bill, or formal measure was officially passed or enacted.
-
C.
deploymentYear
Indicates the calendar year in which an entity (such as a system, product, or resource) was first put into active use or operation.
-
D.
year
Indicates the specific calendar year associated with an entity, event, or fact.
-
E.
yearDecided
Indicates the specific calendar year in which a decision, ruling, or resolution was formally made or finalized.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec942bfc8190a398fe370715a28b |
completed | March 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.