Triple

T10631959
Position Surface form Disambiguated ID Type / Status
Subject King Ping of Zhou E250478 entity
Predicate posthumousName P744 FINISHED
Object Ping
Ping was the posthumous name of King Ping of Zhou, the Zhou dynasty ruler who moved the capital east to Luoyang, marking the beginning of the Eastern Zhou period in ancient China.
E875236 NE FINISHED

How this triple was built (4 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: Ping | Statement: [King Ping of Zhou, posthumousName, Ping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ping
Context triple: [King Ping of Zhou, posthumousName, Ping]
  • A. Ping
    Ping is a comic yet poignant ministerial official in Giacomo Puccini’s opera "Turandot," known for his lyrical reflections on home and the burdens of courtly duty.
  • B. Nping
    Nping is a network packet generation and response analysis tool that comes bundled with the Nmap security scanner suite.
  • C. Pingdom
    Pingdom is a website and server monitoring service known for tracking uptime, performance, and user experience for online applications.
  • D. Onionoo
    Onionoo is a web-based protocol and service by The Tor Project that provides structured, real-time data about Tor network relays and bridges.
  • E. Echo Protocol
    Echo Protocol is a simple network service defined in RFC 862 that sends back any data it receives, primarily used for testing and diagnostic purposes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Ping
Triple: [King Ping of Zhou, posthumousName, Ping]
Generated description
Ping was the posthumous name of King Ping of Zhou, the Zhou dynasty ruler who moved the capital east to Luoyang, marking the beginning of the Eastern Zhou period in ancient China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ping
Target entity description: Ping was the posthumous name of King Ping of Zhou, the Zhou dynasty ruler who moved the capital east to Luoyang, marking the beginning of the Eastern Zhou period in ancient China.
  • A. Ping
    Ping is a comic yet poignant ministerial official in Giacomo Puccini’s opera "Turandot," known for his lyrical reflections on home and the burdens of courtly duty.
  • B. Nping
    Nping is a network packet generation and response analysis tool that comes bundled with the Nmap security scanner suite.
  • C. Pingdom
    Pingdom is a website and server monitoring service known for tracking uptime, performance, and user experience for online applications.
  • D. Onionoo
    Onionoo is a web-based protocol and service by The Tor Project that provides structured, real-time data about Tor network relays and bridges.
  • E. Echo Protocol
    Echo Protocol is a simple network service defined in RFC 862 that sends back any data it receives, primarily used for testing and diagnostic purposes.
  • F. None of above. chosen

Provenance (5 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df94dc1c8190b6347eaf35a5acc2 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bb4bbf08190994ea9123c0b2dab completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96df03c2881909af8501ecf6ac180 completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96f063d588190adcfd56b2b0afccf completed April 10, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:01 p.m.