Triple
T32387722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UK Indo-Pacific tilt |
E827583
|
entity |
| Predicate | tradeObjective |
P38749
|
FINISHED |
| Object | accede to CPTPP |
—
|
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: accede to CPTPP | Statement: [UK Indo-Pacific tilt, tradeObjective, accede to CPTPP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeObjective Context triple: [UK Indo-Pacific tilt, tradeObjective, accede to CPTPP]
-
A.
tradeFocus
Indicates a primary emphasis on or specialization in a particular type of trade, transaction, or commercial activity within the relationship or context.
-
B.
investorObjective
Indicates that an entity’s goal, preference, or intended outcome in its role as an investor is directed toward another entity or investment.
-
C.
investmentTarget
Indicates that one entity is the object or recipient of another entity’s investment.
-
D.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
E.
commercialObjective
chosen
Indicates that an action, plan, or entity is primarily intended to achieve commercial or business-related goals, such as generating revenue, profit, or market advantage.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:51 a.m.