Triple

T15428484
Position Surface form Disambiguated ID Type / Status
Subject Madhesh Province E369573 entity
Predicate containsCity P294 FINISHED
Object Garuda E108946 NE 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: Garuda | Statement: [Madhesh Province, containsCity, Garuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garuda
Context triple: [Madhesh Province, containsCity, Garuda]
  • A. Garuda chosen
    Garuda is a legendary bird-like divine being in Hindu mythology, revered as the king of birds and the powerful vehicle of the god Vishnu.
  • B. GARUDA
    GARUDA is the radio callsign used by Garuda Indonesia, the national flag carrier airline of Indonesia.
  • C. Bodhi the stork
    Bodhi the stork is a cheerful, easygoing junior flyer who co-stars as one of the delivery birds in the Disney Junior animated series T.O.T.S.
  • D. Falkor
    Falkor is the luckdragon from Michael Ende’s fantasy novel "The Neverending Story," known for his benevolent nature, flying abilities, and role as the protagonist’s loyal companion.
  • E. Palas
    Palas is a remote valley and settlement in Pakistan’s Kohistan region, known for its rugged terrain, rich biodiversity, and traditional mountain communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a8099448190be71f7b649c7e545 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.