Triple
T4836263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amethi (Lok Sabha constituency) |
E108065
|
entity |
| Predicate | notableElectionUpset |
P6985
|
FINISHED |
| Object | Rahul Gandhi defeat by Smriti Irani in 2019 |
—
|
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: Rahul Gandhi defeat by Smriti Irani in 2019 | Statement: [Amethi (Lok Sabha constituency), notableElectionUpset, Rahul Gandhi defeat by Smriti Irani in 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableElectionUpset Context triple: [Amethi (Lok Sabha constituency), notableElectionUpset, Rahul Gandhi defeat by Smriti Irani in 2019]
-
A.
hasNotableUpsets
chosen
Indicates that one entity has achieved surprising or unexpected victories over another entity or entities.
-
B.
largestElectoralCollegeLandslideSince
Indicates that one election represents the greatest Electoral College victory margin, compared to all elections occurring after the referenced election.
-
C.
popularVoteLoser
Indicates that the subject became the winner of an election despite receiving fewer popular votes than at least one opponent.
-
D.
wasCloseElection
Indicates that an election was decided by a very small margin between candidates or options.
-
E.
notableOutcome
Indicates that an action, event, or entity leads to or is associated with a significant, noteworthy result or consequence.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.