Triple

T1398263
Position Surface form Disambiguated ID Type / Status
Subject Garuda Indonesia E30719 entity
Predicate callsign P1565 FINISHED
Object GARUDA
GARUDA is the radio callsign used by Garuda Indonesia, the national flag carrier airline of Indonesia.
 E159129 NE FINISHED

How this triple was built (4 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: [Garuda Indonesia, callsign, GARUDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GARUDA
Context triple: [Garuda Indonesia, callsign, GARUDA]
  • A. Garuda
    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. Jatayu
    Jatayu is a noble vulture-king in the Ramayana who heroically attempts to rescue Sita from Ravana, symbolizing courage and sacrifice.
  • C. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • D. Pawukon
    Pawukon is a complex traditional Balinese calendrical system composed of multiple concurrent week cycles used to determine ritual, ceremonial, and agricultural timings.
  • E. Sapsan
    Sapsan is a high-speed passenger train service in Russia operated by Russian Railways, primarily running between Moscow and St. Petersburg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: GARUDA
Triple: [Garuda Indonesia, callsign, GARUDA]
Generated description
GARUDA is the radio callsign used by Garuda Indonesia, the national flag carrier airline of Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GARUDA
Target entity description: GARUDA is the radio callsign used by Garuda Indonesia, the national flag carrier airline of Indonesia.
  • A. Garuda
    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. Jatayu
    Jatayu is a noble vulture-king in the Ramayana who heroically attempts to rescue Sita from Ravana, symbolizing courage and sacrifice.
  • C. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • D. Pawukon
    Pawukon is a complex traditional Balinese calendrical system composed of multiple concurrent week cycles used to determine ritual, ceremonial, and agricultural timings.
  • E. Sapsan
    Sapsan is a high-speed passenger train service in Russia operated by Russian Railways, primarily running between Moscow and St. Petersburg.
  • F. None of above. chosen

Provenance (5 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c382b6588190833c39ac84fb6139 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde353b148190b9122f1d6d80fbd4 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdea5150c8190ab248df8852bcde6 completed March 8, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69acdefd76708190be68b157e83cfd87 completed March 8, 2026, 2:29 a.m.
Created at: March 1, 2026, 7:59 p.m.