Triple
T14163381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inorbit Mall Hyderabad |
E351005
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mindspace IT Park |
E351002
|
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: Mindspace IT Park | Statement: [Inorbit Mall Hyderabad, near, Mindspace IT Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindspace IT Park Context triple: [Inorbit Mall Hyderabad, near, Mindspace IT Park]
-
A.
Mindspace IT Park
chosen
Mindspace IT Park is a major commercial and technology hub in Hyderabad, India, housing numerous multinational IT and software companies.
-
B.
NESCO IT Park
NESCO IT Park is a major commercial and information technology hub in Goregaon, Mumbai, housing numerous corporate offices and tech companies.
-
C.
Raheja IT Park
Raheja IT Park is a major commercial technology hub in Hyderabad’s HITEC City, housing numerous IT and software companies in a modern business campus.
-
D.
Prestige Tech Park
Prestige Tech Park is a major IT and business office complex in Bangalore known for housing numerous technology and corporate companies.
-
E.
Godrej IT Park
Godrej IT Park is a commercial technology and business hub located in the Vikhroli area of Mumbai, India, housing offices for various IT and corporate companies.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de613a4a2081908fd51bf4b4d82b6c |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f3170481909f3981c1e56235d9 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:59 a.m.