Triple
T19731407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smriti Irani |
E473861
|
entity |
| Predicate | constituencyRepresented |
P192
|
FINISHED |
| Object | Amethi |
—
|
NE NERFINISHED |
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: Amethi | Statement: [Smriti Irani, constituencyRepresented, Amethi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amethi Context triple: [Smriti Irani, constituencyRepresented, Amethi]
-
A.
Amethi
chosen
Amethi is a prominent Lok Sabha constituency in Uttar Pradesh, India, long associated with the Nehru–Gandhi political family.
-
B.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
C.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
-
D.
Takshaka
Takshaka is a prominent serpent king (naga) in Hindu mythology, best known for killing King Parikshit and thereby becoming the central target of King Janamejaya’s great snake sacrifice.
-
E.
Kherwara
Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:47 p.m.