Triple

T33745384
Position Surface form Disambiguated ID Type / Status
Subject Lady Penh E864683 entity
Predicate hasCanonicalSite P19451 FINISHED
Object Wat Phnom historical site
Wat Phnom historical site is a prominent Buddhist temple and landmark in Phnom Penh, Cambodia, traditionally regarded as the birthplace of the city and associated with the legend of Lady Penh.
 E2066280 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: Wat Phnom historical site | Statement: [Lady Penh, hasCanonicalSite, Wat Phnom historical site]
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: Wat Phnom historical site
Triple: [Lady Penh, hasCanonicalSite, Wat Phnom historical site]
Generated description
Wat Phnom historical site is a prominent Buddhist temple and landmark in Phnom Penh, Cambodia, traditionally regarded as the birthplace of the city and associated with the legend of Lady Penh.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCanonicalSite
Context triple: [Lady Penh, hasCanonicalSite, Wat Phnom historical site]
  • A. hasCanonicalUrl
    Indicates that an entity is associated with its primary, authoritative URL that should be used as its standard web address.
  • B. hasMainSite chosen
    Indicates that one entity is designated as the primary or central site associated with another entity.
  • C. hasCanonicalReference
    Indicates that one entity serves as the authoritative or standard reference source for another entity.
  • D. isCanonical
    Indicates that something represents the standard, authoritative, or officially accepted form within a given context or system.
  • E. hasCanonicalCategory
    Indicates that something is associated with its standard or officially recognized category within a classification system.
  • 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_69f3498b24b8819096a65009e521d0e1 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff3b32ee148190a3ba3b7600943fef completed May 9, 2026, 1:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a365c8c5ac08190bc976d845358ca09 completed June 20, 2026, 9:25 a.m.
NEDg Description generation batch_6a365d2c51808190aa3437c2aa4af4d0 completed June 20, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_6a365de322208190b3fc9539d7a2b18b completed June 20, 2026, 9:31 a.m.
PD Predicate disambiguation batch_69ff3a238af88190a2c2245e30299e48 completed May 9, 2026, 1:44 p.m.
Created at: May 1, 2026, 1:44 a.m.