Triple

T28324291
Position Surface form Disambiguated ID Type / Status
Subject Former Yan E717363 entity
Predicate usesCalendarEraName P91459 FINISHED
Object Shengping
Shengping was a Chinese era name used during the Former Yan dynasty, marking a specific reign period in its imperial calendar system.
E1812866 NE FINISHED

How this triple was built (3 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: Shengping | Statement: [Former Yan, usesCalendarEraName, Shengping]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shengping
Triple: [Former Yan, usesCalendarEraName, Shengping]
Generated description
Shengping was a Chinese era name used during the Former Yan dynasty, marking a specific reign period in its imperial calendar system.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCalendarEraName
Context triple: [Former Yan, usesCalendarEraName, Shengping]
  • A. usedEraName chosen
    Indicates that an entity employed or referenced a specific historical or calendrical era name in its dating or designation.
  • B. usedChineseEraNames
    Indicates that one entity employed or referenced Chinese era names in relation to another entity or context.
  • C. calendarEraAlignment
    Indicates that two calendar eras are related by a defined temporal correspondence or offset, aligning their dates or time scales to each other.
  • D. prefersEra
    Indicates a relationship where one entity favors or is more inclined toward a particular historical or cultural era over others.
  • E. usesJulianCalendar
    Indicates that the subject follows or is based on the Julian calendar system for dating events or timekeeping.
  • F. None of above.

Provenance (6 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_69eff6e6c3b08190ad78de6ba7f04548 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1632f2d2388190b949e000d8ecf5f5 completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a1633a0bd1881908757c68e04bdc509 completed May 26, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_6a1634122f8c8190af25b6651fd12796 completed May 27, 2026, midnight
PD Predicate disambiguation batch_69f6f969b4cc8190afb473a2d8b110bc completed May 3, 2026, 7:29 a.m.
Created at: April 28, 2026, 12:26 a.m.