Triple

T8589619
Position Surface form Disambiguated ID Type / Status
Subject Indonesian Military Academy E203396 entity
Predicate abbreviation P43 FINISHED
Object Akmil
Akmil is the Indonesian Military Academy, a premier institution responsible for training and educating future officers of the Indonesian Army.
 E745144 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: Akmil | Statement: [Indonesian Military Academy, abbreviation, Akmil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akmil
Context triple: [Indonesian Military Academy, abbreviation, Akmil]
  • A. Amik
    Amik is the beaver mascot created for the 1976 Summer Olympics in Montreal, symbolizing hard work and industriousness.
  • B. Katchal
    Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
  • C. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • D. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • E. Araniko
    Araniko was a renowned 13th-century Nepalese architect and artist best known for introducing Newar-style Buddhist architecture to the Yuan dynasty in China.
  • 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: Akmil
Triple: [Indonesian Military Academy, abbreviation, Akmil]
Generated description
Akmil is the Indonesian Military Academy, a premier institution responsible for training and educating future officers of the Indonesian Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akmil
Target entity description: Akmil is the Indonesian Military Academy, a premier institution responsible for training and educating future officers of the Indonesian Army.
  • A. Amik
    Amik is the beaver mascot created for the 1976 Summer Olympics in Montreal, symbolizing hard work and industriousness.
  • B. Katchal
    Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
  • C. Kachera
    Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
  • D. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • E. Araniko
    Araniko was a renowned 13th-century Nepalese architect and artist best known for introducing Newar-style Buddhist architecture to the Yuan dynasty in China.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc466471048190ad6351170d07f7f7 completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8acebac81909d2fce98c6901f0c completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea9cff1ec8190a0093fb42782341e completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa9f7f8c8190965e86880ff141d5 completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:23 p.m.