Triple

T11067201
Position Surface form Disambiguated ID Type / Status
Subject Zouave statue E261655 entity
Predicate floodLevelIndicator P38381 FINISHED
Object feet of statue 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: feet of statue | Statement: [Zouave statue, floodLevelIndicator, feet of statue]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: floodLevelIndicator
Context triple: [Zouave statue, floodLevelIndicator, feet of statue]
  • A. floodGauge chosen
    Indicates that a device or measurement point is used to monitor and record the level or intensity of flooding at a specific location.
  • B. floodStage
    Indicates that a water body’s level has reached or exceeded the defined height at which flooding is expected to begin or become hazardous.
  • C. designedFloodLevel
    Indicates the flood level that a structure or system is specifically engineered to withstand or accommodate.
  • D. waterLevelRise
    Indicates that the level of water in a given area or container has increased over time.
  • E. hasFloodRisk
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79920428c81908db824ab54e08e8d completed April 9, 2026, 12:18 p.m.
PD Predicate disambiguation batch_69d74411d9e881908c0eeafa0f38e4b6 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:26 p.m.