Triple
T15234405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunrisers Hyderabad |
E364085
|
entity |
| Predicate | franchiseAuctionYear |
P117675
|
FINISHED |
| Object | 2012 |
—
|
LITERAL 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: 2012 | Statement: [Sunrisers Hyderabad, franchiseAuctionYear, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseAuctionYear Context triple: [Sunrisers Hyderabad, franchiseAuctionYear, 2012]
-
A.
acquiredFranchiseYear
Indicates the year in which an entity obtained ownership or control of a franchise.
-
B.
tradeYear
Indicates the specific calendar year in which a trade or commercial transaction took place or was recorded.
-
C.
franchiseEndYear
Indicates the calendar year in which a franchise relationship or agreement is terminated or ceases to operate.
-
D.
franchiseDebut
Indicates the first appearance or introduction of an entity within a particular franchise or series.
-
E.
franchiseStartSeason
Indicates the season in which a particular franchise or series first began or was introduced.
- F. None of above. chosen
Provenance (4 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.