Triple
T19498079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 義大犀牛 |
E487825
|
entity |
| Predicate | 球隊標的市場 |
P64404
|
FINISHED |
| Object | 南台灣職棒市場 |
—
|
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: 南台灣職棒市場 | Statement: [義大犀牛, 球隊標的市場, 南台灣職棒市場]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 球隊標的市場 Context triple: [義大犀牛, 球隊標的市場, 南台灣職棒市場]
-
A.
sportsTeamMarket
chosen
Indicates the commercial or geographic market area associated with a sports team, such as the city, region, or fan base it serves.
-
B.
sportsBrand
Indicates that one entity is a sports-related brand or label associated with the other entity.
-
C.
sportsMarketFor
Indicates a market or commercial context in which a particular sport, sporting event, or sports-related product is bought, sold, traded, or otherwise economically transacted.
-
D.
basedInLeagueMarket
Indicates that an entity’s primary market or operational base is located within the geographic market area associated with a particular league.
-
E.
basedInSportsMarket
Indicates that an entity’s primary operations or presence are located within a specific sports-related geographic or commercial market.
- F. None of above.
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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63493232881909fc33fb84da3e1b5 |
completed | April 20, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.