Triple
T28988242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan–Taiwan relations |
E734749
|
entity |
| Predicate | hasTradePartnerRank |
P195079
|
FINISHED |
| Object | Japan is a major trading partner of Taiwan |
—
|
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: Japan is a major trading partner of Taiwan | Statement: [Japan–Taiwan relations, hasTradePartnerRank, Japan is a major trading partner of Taiwan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTradePartnerRank Context triple: [Japan–Taiwan relations, hasTradePartnerRank, Japan is a major trading partner of Taiwan]
-
A.
partnerRank
Indicates the relative status or level assigned to a partner within a partnership or collaboration hierarchy.
-
B.
tradingPartner
Indicates a relationship where two entities engage in the exchange of goods, services, or financial instruments with one another.
-
C.
mainTradingPartnerCountry
Indicates the country that serves as the primary trading partner for a given entity, based on the largest or most significant volume of trade.
-
D.
hasRankingUnit
Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
-
E.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
| PDg | Predicate description generation | batch_69fda4fe67a08190bdaa84ceabd6de6c |
completed | May 8, 2026, 8:55 a.m. |
Created at: April 28, 2026, 9:15 a.m.