Triple
T16527635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajkummar Rao |
E401481
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Gurgaon |
E78440
|
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: Gurgaon | Statement: [Rajkummar Rao, placeOfBirth, Gurgaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurgaon Context triple: [Rajkummar Rao, placeOfBirth, Gurgaon]
-
A.
Gurugram
chosen
Gurugram is a major financial and technology hub in the Indian state of Haryana, known for its modern skyline, multinational corporate offices, and proximity to New Delhi.
-
B.
Noida
Noida is a major planned city and technology hub in the National Capital Region near Delhi, known for its modern infrastructure, IT parks, and residential developments.
-
C.
Faridabad
Faridabad is a major industrial city in northern India known for its manufacturing sector and its location within the National Capital Region near New Delhi.
-
D.
Manesar
Manesar is an industrial and residential township in Haryana, India, known for its manufacturing hubs and proximity to Gurgaon and Delhi.
-
E.
Kharghar
Kharghar is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its planned infrastructure and connectivity to Mumbai via the suburban railway network.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed4b8a08190b5f179fc583001a6 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a508505881909cb7582916ad037c |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:14 a.m.