Triple

T9621014
Position Surface form Disambiguated ID Type / Status
Subject India–China relations E232339 entity
Predicate hasTradeImbalance P12536 FINISHED
Object India has trade deficit with China 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: India has trade deficit with China | Statement: [India–China relations, hasTradeImbalance, India has trade deficit with China]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTradeImbalance
Context triple: [India–China relations, hasTradeImbalance, India has trade deficit with China]
  • A. typeOfImbalanceAddressed
    Indicates the specific kind of imbalance or disequilibrium that an action, intervention, or entity is intended to correct or address.
  • B. hasTrade chosen
    Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
  • C. hasTradeoff
    Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
  • D. hasRebalancing
    Indicates that an entity undergoes or is subject to an adjustment process to restore a desired balance or allocation among its components or related elements.
  • E. sharesTradedFor
    Indicates that shares of one entity are exchanged or traded in return for another asset, security, or form of consideration.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad3a8d88190b1414aa676d82f36 completed April 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69ccd5aa1d2c8190a287bf1cf4a3037e completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:09 p.m.