Triple
T16198916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid Metro Gurgaon |
E393143
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Cyber City station
Cyber City station is an elevated rapid transit stop on the Rapid Metro Gurgaon system serving the bustling DLF Cyber City business district in Gurugram, India.
|
E1209777
|
NE FINISHED |
How this triple was built (4 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 station | Statement: [Rapid Metro Gurgaon, hasStation, Cyber City station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyber City station Context triple: [Rapid Metro Gurgaon, hasStation, Cyber City station]
-
A.
Centum City Station
Centum City Station is a major subway and transportation hub serving the Centum City business and shopping district in Busan, South Korea.
-
B.
Innovation Center station
Innovation Center station is a Washington Metro rail station in Virginia located near the Dulles Technology Corridor, serving the Silver Line.
-
C.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
D.
Shichahai station
Shichahai station is an underground metro stop on the Beijing Subway serving the historic Shichahai scenic area near central Beijing.
-
E.
Roa Station
Roa Station is a railway station serving the municipality of Lunner in Viken county, Norway.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cyber City station Triple: [Rapid Metro Gurgaon, hasStation, Cyber City station]
Generated description
Cyber City station is an elevated rapid transit stop on the Rapid Metro Gurgaon system serving the bustling DLF Cyber City business district in Gurugram, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cyber City station Target entity description: Cyber City station is an elevated rapid transit stop on the Rapid Metro Gurgaon system serving the bustling DLF Cyber City business district in Gurugram, India.
-
A.
Centum City Station
Centum City Station is a major subway and transportation hub serving the Centum City business and shopping district in Busan, South Korea.
-
B.
Innovation Center station
Innovation Center station is a Washington Metro rail station in Virginia located near the Dulles Technology Corridor, serving the Silver Line.
-
C.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
D.
Shichahai station
Shichahai station is an underground metro stop on the Beijing Subway serving the historic Shichahai scenic area near central Beijing.
-
E.
Roa Station
Roa Station is a railway station serving the municipality of Lunner in Viken county, Norway.
- F. None of above. chosen
Provenance (5 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_6a00354a20d081908288fb8c0e8b83b6 |
completed | May 10, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a00368287d48190b510541eb7851942 |
completed | May 10, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003766d4ec8190ab98387781f85bd6 |
completed | May 10, 2026, 7:44 a.m. |
Created at: April 10, 2026, 5:03 a.m.