Triple
T4032621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dream Sports |
E83750
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | Dream11 |
E83750
|
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: Dream11 | Statement: [Dream Sports, operates, Dream11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dream11 Context triple: [Dream Sports, operates, Dream11]
-
A.
Dream Sports
chosen
Dream Sports is an Indian sports technology company best known for operating Dream11, a leading fantasy sports platform.
-
B.
PKL
PKL is the vehicle registration code assigned to the town of Koło in Poland.
-
C.
One Sports
One Sports is a Philippine free-to-air sports television channel operated by TV5 Network, featuring local and international sporting events.
-
D.
Sportsday
Sportsday is a BBC television sports news programme providing regular updates, highlights, and analysis of major sporting events.
-
E.
Sports Info Solutions
Sports Info Solutions is a baseball analytics company known for its advanced defensive metrics, data-driven scouting, and publication of influential sabermetric research.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0f776881909db6b7df1db7664c |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563b6d8c8190862597ea39b56de1 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.