Triple
T902825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonia Gandhi |
E19481
|
entity |
| Predicate | parliamentaryConstituencyRepresented |
P6494
|
FINISHED |
| Object | Amethi |
E108065
|
NE 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: Amethi | Statement: [Sonia Gandhi, parliamentaryConstituencyRepresented, Amethi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amethi Context triple: [Sonia Gandhi, parliamentaryConstituencyRepresented, Amethi]
-
A.
Amethi
chosen
Amethi is a prominent Lok Sabha constituency in Uttar Pradesh, India, long associated with the Nehru–Gandhi political family.
-
B.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
C.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
D.
Singrauli
Singrauli is a major industrial and energy hub in central India, known for its extensive coal mining operations and large thermal power plants.
-
E.
Rewa
Rewa is an alternative name for the Narmada River, one of central India's major and holiest rivers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad56f4c08190a7a5091ff0eb3209 |
completed | March 1, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac257f3b2c819082a16c7242d89404 |
completed | March 7, 2026, 1:17 p.m. |
Created at: March 1, 2026, 7:39 p.m.