Triple

T13047498
Position Surface form Disambiguated ID Type / Status
Subject Lao–Isan cultural area E327360 entity
Predicate hasTraditionalHouseStyle P108429 FINISHED
Object stilt houses 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: stilt houses | Statement: [Lao–Isan cultural area, hasTraditionalHouseStyle, stilt houses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalHouseStyle
Context triple: [Lao–Isan cultural area, hasTraditionalHouseStyle, stilt houses]
  • A. traditionallyHouses
    Indicates that one entity has historically or customarily served as the location or container for another entity.
  • B. keeperHouseStyle
    Indicates the architectural or design style associated with a keeper’s house (e.g., lighthouse keeper’s residence).
  • C. traditionalHomeOf
    Indicates that a place is historically or customarily regarded as the primary homeland or origin location of a particular group or culture.
  • D. usesHouseStyle
    Indicates that one entity follows or applies the specific house style (a defined set of stylistic or formatting conventions) associated with another entity.
  • E. traditionallyBuiltOver
    Indicates that one entity has been constructed on top of another in a manner consistent with long-established or customary building practices.
  • F. None of above. chosen

Provenance (4 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98a9829b48190b23624b6b3df4600 completed April 10, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69d9803aca4c8190b1015cd159cc47a9 completed April 10, 2026, 10:56 p.m.
PDg Predicate description generation batch_69d98a9577d081908ddef9ea77e408e2 completed April 10, 2026, 11:41 p.m.
Created at: April 9, 2026, 8:57 p.m.