Triple
T16265331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noida Metro |
E394859
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Knowledge Park II |
E450687
|
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: Knowledge Park II | Statement: [Noida Metro, hasStation, Knowledge Park II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knowledge Park II Context triple: [Noida Metro, hasStation, Knowledge Park II]
-
A.
Knowledge Park II
chosen
Knowledge Park II is a metro station on the Noida Metro’s Aqua Line serving the Knowledge Park educational and institutional area in Greater Noida, Uttar Pradesh, India.
-
B.
Prestige Tech Park
Prestige Tech Park is a major IT and business office complex in Bangalore known for housing numerous technology and corporate companies.
-
C.
NESCO IT Park
NESCO IT Park is a major commercial and information technology hub in Goregaon, Mumbai, housing numerous corporate offices and tech companies.
-
D.
Brigade Tech Park
Brigade Tech Park is a major office and IT business complex located in the Whitefield area of Bangalore, India.
-
E.
Area Science Park
Area Science Park is a major multidisciplinary research and technology hub in Trieste, Italy, hosting laboratories, innovative companies, and advanced scientific infrastructure.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c73944819085633e6d2a69bae9 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b877088190893a1f012e5d2463 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.