Triple

T33992623
Position Surface form Disambiguated ID Type / Status
Subject Saint-Hospice chapel E871587 entity
Predicate hasNearbyStatue P1646 FINISHED
Object Virgin Mary statue
The Virgin Mary statue is a religious monument depicting Mary, mother of Jesus, venerated as a symbol of purity, compassion, and maternal protection.
 E2077177 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: Virgin Mary statue | Statement: [Saint-Hospice chapel, hasNearbyStatue, Virgin Mary statue]
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: Virgin Mary statue
Triple: [Saint-Hospice chapel, hasNearbyStatue, Virgin Mary statue]
Generated description
The Virgin Mary statue is a religious monument depicting Mary, mother of Jesus, venerated as a symbol of purity, compassion, and maternal protection.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyStatue
Context triple: [Saint-Hospice chapel, hasNearbyStatue, Virgin Mary statue]
  • A. hasStatue chosen
    Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
  • B. statueName
    Indicates that a statue has a specific name or title associated with it.
  • C. positionOfStatue
    Indicates the spatial location where a statue is situated or placed.
  • D. hasNearbyShrine
    Indicates that one entity is located close to or in the vicinity of a shrine associated with another entity.
  • E. topStatue
    Indicates that one entity is positioned as a statue on top of another entity.
  • 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_69f3499e964c8190b674b03f6f791b4b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ffa15d53208190ab8574d6c7913e18 completed May 9, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3692e16034819090f920eb4f21f85e completed June 20, 2026, 1:17 p.m.
NEDg Description generation batch_6a3693978aa881909be8384c3d62bc33 completed June 20, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a3694bc096081909982b082aec3241d completed June 20, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69ff9eee681c81909434e79c627cb528 completed May 9, 2026, 8:54 p.m.
Created at: May 1, 2026, 1:50 a.m.