Triple

T35437270
Position Surface form Disambiguated ID Type / Status
Subject National Parliament of Papua New Guinea E1024244 entity
Predicate hasHouseCount P1306 FINISHED
Object 1 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: 1 | Statement: [National Parliament of Papua New Guinea, hasHouseCount, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHouseCount
Context triple: [National Parliament of Papua New Guinea, hasHouseCount, 1]
  • A. hasNumberOfHouses chosen
    Indicates the quantity of houses associated with a given entity.
  • B. hasHouses
    Indicates that one entity possesses, controls, or contains one or more houses in relation to another entity or context.
  • C. hasHouse
    Indicates that one entity possesses, owns, or is provided with a house in relation to another entity.
  • D. numberOfHouses
    Indicates the quantity of houses associated with a given entity or context.
  • E. hasHouseWithin
    Indicates that one entity possesses or is associated with a house that is located within the spatial or administrative boundaries of another entity.
  • 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_69f76df743c48190aecb6dd79efb0d95 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fdd2be648c8190b60b3d1caeb44364 completed May 8, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69fdd14a5c708190a6f95ec61f4fc28f completed May 8, 2026, 12:04 p.m.
Created at: May 3, 2026, 4:04 p.m.