Triple
T9668314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tencent-led consortium |
E233760
|
entity |
| Predicate | typeOfStake |
P89507
|
FINISHED |
| Object | significant minority stake |
—
|
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: significant minority stake | Statement: [Tencent-led consortium, typeOfStake, significant minority stake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfStake Context triple: [Tencent-led consortium, typeOfStake, significant minority stake]
-
A.
typeOfGambling
Indicates the specific category or form of gambling activity associated with an entity.
-
B.
isHighStakes
Indicates that the situation, event, or decision involves significant risk, consequences, or potential impact, making the outcome particularly critical.
-
C.
ballGameType
Indicates the specific kind or category of ball game associated with an event or activity.
-
D.
typeOfStrike
Indicates the specific category or kind of strike involved in an event or action.
-
E.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3c06e4819080c1b8e66faa482f |
completed | April 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:15 p.m.