Triple
T7394193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Synopsys |
E170579
|
entity |
| Predicate | majorOffice |
P17674
|
FINISHED |
| Object | Noida, India |
E78949
|
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: Noida, India | Statement: [Synopsys, majorOffice, Noida, India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noida, India Context triple: [Synopsys, majorOffice, Noida, India]
-
A.
Noida
chosen
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.
-
B.
New Delhi, India
New Delhi, India is the capital city of India, serving as the nation’s political and administrative center and home to key government institutions and historic landmarks.
-
C.
Noida Sector 101
Noida Sector 101 is a metro station in Noida, Uttar Pradesh, India, serving residential and commercial areas along the Noida Metro’s Aqua Line.
-
D.
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.
-
E.
Noida Sector 76
Noida Sector 76 is a metro station on the Noida Metro’s Aqua Line serving the residential and commercial areas around Sector 76 in Noida, Uttar Pradesh, India.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f4eb5c808190ba08956bcf297ea8 |
completed | March 27, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810f82ba08190919924b0994a2eee |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:09 p.m.