Triple

T23519467
Position Surface form Disambiguated ID Type / Status
Subject Mausoleum of the First Qin Emperor E574462 entity
Predicate estimatedLaborForce P17907 FINISHED
Object hundreds of thousands of workers 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: hundreds of thousands of workers | Statement: [Mausoleum of the First Qin Emperor, estimatedLaborForce, hundreds of thousands of workers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedLaborForce
Context triple: [Mausoleum of the First Qin Emperor, estimatedLaborForce, hundreds of thousands of workers]
  • A. laborForceCharacteristic
    Indicates a relationship where an entity is described or classified by a specific attribute or status related to its participation in the labor force.
  • B. hasAgriculturalLaborForce
    Indicates that an entity possesses a workforce engaged in agricultural activities or farming-related labor.
  • C. employedApproximately
    Indicates that one entity employs another in a manner where the number, duration, or extent of employment is approximate rather than exact.
  • D. employsApproximateNumberOfPeople chosen
    Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
  • E. employedPeople
    Indicates that there exists a relationship where people are currently working in jobs or positions, typically under an employer.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa84fe7c8190aa1078a118af7d61 completed April 29, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69f06213e8c48190b52a7789fb91e02d completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:08 p.m.