Triple

T15323418
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Infrastructure and Water Management E366350 entity
Predicate shortName P43 FINISHED
Object IenW
IenW is the commonly used abbreviation for the Dutch Ministry of Infrastructure and Water Management, which oversees national policies on transport, public works, and water management in the Netherlands.
 E1150167 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: IenW | Statement: [Ministry of Infrastructure and Water Management, shortName, IenW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IenW
Context triple: [Ministry of Infrastructure and Water Management, shortName, IenW]
  • A. WEN
    WEN is the vehicle registration code for the German city of Weiden in der Oberpfalz in Bavaria.
  • B. I-wak
    I-wak is an Austronesian language spoken by a small indigenous community in the northern Philippines.
  • C. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • D. INENR
    INENR is the UN/LOCODE identifier assigned to Ennore Port in India for international trade and transport logistics.
  • E. IKW
    IKW is the commonly used abbreviation for the Institute of Cognitive Science, a research and teaching institution focused on the interdisciplinary study of mind and cognition.
  • 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: IenW
Triple: [Ministry of Infrastructure and Water Management, shortName, IenW]
Generated description
IenW is the commonly used abbreviation for the Dutch Ministry of Infrastructure and Water Management, which oversees national policies on transport, public works, and water management in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IenW
Target entity description: IenW is the commonly used abbreviation for the Dutch Ministry of Infrastructure and Water Management, which oversees national policies on transport, public works, and water management in the Netherlands.
  • A. WEN
    WEN is the vehicle registration code for the German city of Weiden in der Oberpfalz in Bavaria.
  • B. I-wak
    I-wak is an Austronesian language spoken by a small indigenous community in the northern Philippines.
  • C. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • D. INENR
    INENR is the UN/LOCODE identifier assigned to Ennore Port in India for international trade and transport logistics.
  • E. IKW
    IKW is the commonly used abbreviation for the Institute of Cognitive Science, a research and teaching institution focused on the interdisciplinary study of mind and cognition.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd5ce0c819093c9a14de549dff6 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8aaef608190bd3ec9fdd215afbb completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa435efc81908c1e88267e745cdd completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefb2ee9108190b3d8633cc9713c7b completed May 9, 2026, 9:15 a.m.
Created at: April 10, 2026, 3:16 a.m.