Triple
T14163271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mindspace IT Park |
E351002
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | K Raheja Corp |
E1083195
|
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: K Raheja Corp | Statement: [Mindspace IT Park, operator, K Raheja Corp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K Raheja Corp Context triple: [Mindspace IT Park, operator, K Raheja Corp]
-
A.
K Raheja Corp
chosen
K Raheja Corp is a prominent Indian real estate and property development company known for developing large commercial, residential, and IT park projects across major cities.
-
B.
Godrej Properties Limited
Godrej Properties Limited is a major Indian real estate development company and part of the diversified Godrej Group conglomerate.
-
C.
Mehta Group
Mehta Group is a diversified Indian business conglomerate involved in sectors such as manufacturing, trading, and services.
-
D.
Narsimha Enterprises
Narsimha Enterprises is a film production company associated with Indian producer Boney Kapoor, known for backing various Hindi cinema projects.
-
E.
Hindustan Construction Company
Hindustan Construction Company is a major Indian infrastructure and engineering firm known for executing large-scale projects such as bridges, highways, and power plants.
- 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_69fd193dbbcc819082043d92c174164c |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 12:59 a.m.