Triple
T33875666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahjong |
E868347
|
entity |
| Predicate | hasMeldType |
P198683
|
FINISHED |
| Object | pung |
—
|
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: pung | Statement: [Mahjong, hasMeldType, pung]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeldType Context triple: [Mahjong, hasMeldType, pung]
-
A.
hasTrickType
Indicates that an entity (such as a trick or maneuver) is associated with a specific type or category of trick.
-
B.
hasHullType
Indicates that an entity possesses or is characterized by a specific type or form of hull.
-
C.
hasMysteryType
Indicates that an entity is associated with, categorized under, or characterized by a particular type whose nature or classification is unknown, hidden, or unspecified.
-
D.
hasMoveType
Indicates that an action or move is associated with a specific type or category (such as elemental, functional, or classification-based).
-
E.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
| PDg | Predicate description generation | batch_69fefb13eb288190bcfae0541cfd7b98 |
completed | May 9, 2026, 9:15 a.m. |
Created at: May 1, 2026, 1:48 a.m.