Triple
T16198887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid Metro Gurgaon |
E393143
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Cyber City, Gurugram |
E1135114
|
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: Cyber City, Gurugram | Statement: [Rapid Metro Gurgaon, serves, Cyber City, Gurugram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyber City, Gurugram Context triple: [Rapid Metro Gurgaon, serves, Cyber City, Gurugram]
-
A.
Cyber City area of Gurugram
chosen
The Cyber City area of Gurugram is a major corporate and technology hub in the Delhi NCR region, known for its high-rise offices, multinational company campuses, and modern commercial infrastructure.
-
B.
Cybercity Magarpatta
Cybercity Magarpatta is the major IT and business hub within Magarpatta City in Pune, India, housing numerous technology companies and corporate offices.
-
C.
Cyberabad
Cyberabad is a popular moniker for the technology-driven, IT and software hub aspects of Hyderabad, India.
-
D.
DLF Cyber Hub
DLF Cyber Hub is a popular corporate, dining, and entertainment complex in Gurugram, India, known for its upscale restaurants, bars, and vibrant nightlife.
-
E.
Noida Sector 51
Noida Sector 51 is a metro station in Noida, Uttar Pradesh, that serves as a key transit point on the Noida Metro network and an interchange hub with the Delhi Metro system.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222de2db481908471b9c73d444607 |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00078db04081909f7e14b09687ba67 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.