Triple

T7984075
Position Surface form Disambiguated ID Type / Status
Subject Department of Survey and Mapping Malaysia E185645 entity
Predicate shortName P43 FINISHED
Object JUPEM
JUPEM is the national agency responsible for land surveying, mapping, and geospatial data management in Malaysia.
 E702171 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: JUPEM | Statement: [Department of Survey and Mapping Malaysia, shortName, JUPEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JUPEM
Context triple: [Department of Survey and Mapping Malaysia, shortName, JUPEM]
  • A. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • B. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • C. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • D. JEMA
    JEMA is the abbreviated designation for the Chief of Staff of the French Air and Space Force, the highest-ranking officer responsible for its command and strategic direction.
  • E. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • 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: JUPEM
Triple: [Department of Survey and Mapping Malaysia, shortName, JUPEM]
Generated description
JUPEM is the national agency responsible for land surveying, mapping, and geospatial data management in Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JUPEM
Target entity description: JUPEM is the national agency responsible for land surveying, mapping, and geospatial data management in Malaysia.
  • A. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • B. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • C. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • D. JEMA
    JEMA is the abbreviated designation for the Chief of Staff of the French Air and Space Force, the highest-ranking officer responsible for its command and strategic direction.
  • E. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c2b543c81909b82bc478d579e0b completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0e0b2748190930c22c6157d1b07 completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43e47048190a0044477f88de5d0 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0d60254c819087d1de7ca6ea554b completed March 31, 2026, 6:07 p.m.
Created at: March 30, 2026, 5:15 p.m.