Triple

T7385005
Position Surface form Disambiguated ID Type / Status
Subject Mawangdui Han Tombs E170357 entity
Predicate bodyPreservation P9592 FINISHED
Object soft tissues of Lady Dai remained intact 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: soft tissues of Lady Dai remained intact | Statement: [Mawangdui Han Tombs, bodyPreservation, soft tissues of Lady Dai remained intact]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bodyPreservation
Context triple: [Mawangdui Han Tombs, bodyPreservation, soft tissues of Lady Dai remained intact]
  • A. preservationMethod
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • B. stateOfPreservation chosen
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • C. preservationType
    Indicates the method or process by which something is preserved or kept from deterioration.
  • D. preservedAt
    Indicates that something is kept, maintained, or conserved in a particular place or context.
  • E. preservationFactor
    Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1efe1308190b96eefbff56140be completed March 27, 2026, 9:09 p.m.
PD Predicate disambiguation batch_69c6f0309cc88190b55d278969400294 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:08 p.m.