Triple

T20692933
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Energy and Mineral Resources of Indonesia E508595 entity
Predicate shortName P43 FINISHED
Object ESDM
ESDM is the commonly used abbreviation for Indonesia’s Ministry of Energy and Mineral Resources, the government body responsible for managing the country’s energy and mineral resource policies.
 E1445453 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: ESDM | Statement: [Ministry of Energy and Mineral Resources of Indonesia, shortName, ESDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESDM
Context triple: [Ministry of Energy and Mineral Resources of Indonesia, shortName, ESDM]
  • A. ESMD
    ESMD is the former NASA directorate responsible for developing human and robotic exploration systems for missions beyond low Earth orbit.
  • B. EDSD
    EDSD is the commonly used abbreviation for the Episcopal Diocese of San Diego, a regional jurisdiction of the Episcopal Church in Southern California.
  • C. ESD
    ESD is the primary economic development agency of New York State, responsible for promoting business growth, job creation, and investment.
  • D. ESD
    ESD is an academic department focused on interdisciplinary research and education in energy systems, policy, and technology.
  • E. EDDS
    EDDS is the ICAO airport code designating Stuttgart Airport in Germany.
  • 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: ESDM
Triple: [Ministry of Energy and Mineral Resources of Indonesia, shortName, ESDM]
Generated description
ESDM is the commonly used abbreviation for Indonesia’s Ministry of Energy and Mineral Resources, the government body responsible for managing the country’s energy and mineral resource policies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESDM
Target entity description: ESDM is the commonly used abbreviation for Indonesia’s Ministry of Energy and Mineral Resources, the government body responsible for managing the country’s energy and mineral resource policies.
  • A. ESMD
    ESMD is the former NASA directorate responsible for developing human and robotic exploration systems for missions beyond low Earth orbit.
  • B. EDSD
    EDSD is the commonly used abbreviation for the Episcopal Diocese of San Diego, a regional jurisdiction of the Episcopal Church in Southern California.
  • C. ESD
    ESD is the primary economic development agency of New York State, responsible for promoting business growth, job creation, and investment.
  • D. ESD
    ESD is an academic department focused on interdisciplinary research and education in energy systems, policy, and technology.
  • E. EDDS
    EDDS is the ICAO airport code designating Stuttgart Airport in Germany.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10fc4088190ab71ef078600954b completed April 21, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e43a3c81909f63e63e30e9c435 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d91216bc8190909e0e37f6d5e612 completed May 16, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_6a08d99214b48190b0ffba4026d3fa39 completed May 16, 2026, 8:54 p.m.
Created at: April 16, 2026, 12:09 p.m.