Triple
T198099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vande Mataram |
E4041
|
entity |
| Predicate | firstSungEvent |
P4982
|
FINISHED |
| Object | Indian National Congress session |
—
|
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: Indian National Congress session | Statement: [Vande Mataram, firstSungEvent, Indian National Congress session]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSungEvent Context triple: [Vande Mataram, firstSungEvent, Indian National Congress session]
-
A.
firstPerformance
chosen
Indicates that an entity marks the initial or debut performance of another entity, such as a work, artist, or production.
-
B.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
C.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
D.
firstDemonstrated
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
-
E.
firstCoronationHeld
Indicates that the referenced coronation event is the earliest (first in time) coronation associated with the given entity.
- F. None of above.
Provenance (3 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69a25b47481c8190add47c641c977bb9 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.