Triple

T28381594
Position Surface form Disambiguated ID Type / Status
Subject bombing of Nanjing E718903 entity
Predicate capitalOfCountryAtTime P126288 FINISHED
Object Republic of China NE NERFINISHED

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: Republic of China | Statement: [bombing of Nanjing, capitalOfCountryAtTime, Republic of China]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: capitalOfCountryAtTime
Context triple: [bombing of Nanjing, capitalOfCountryAtTime, Republic of China]
  • A. countryCapitalAtTime chosen
    Indicates that a particular city served as the capital of a given country during a specified time period.
  • B. hostCountryCapitalAtTheTime
    Indicates that the referenced city was the capital of the host country at the specific time of the related event or context.
  • C. capitalOfCountryRuled
    Indicates that a city serves as the capital of a country that is (or was) governed by a specified ruler or ruling entity.
  • D. capitalCityDuringEra
    Indicates that a particular city served as the capital of an entity (such as a country or region) during a specified historical era or time period.
  • E. countryCapitalUntil
    Indicates that a specified city served as the capital of a given country up to (but not necessarily including) a particular end date or time period.
  • 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_69eff6ee5afc8190bd7375a29f0cc6c6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc53f4f881908dcc698687bbb64d completed May 3, 2026, 7:42 a.m.
Created at: April 28, 2026, 1:07 a.m.