Triple

T5828021
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Institute for Air Research E129276 entity
Predicate shortName P43 FINISHED
Object NILU
NILU is a Norwegian research institute specializing in air quality, atmospheric chemistry, and environmental pollution studies.
E548734 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: NILU | Statement: [Norwegian Institute for Air Research, shortName, NILU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NILU
Context triple: [Norwegian Institute for Air Research, shortName, NILU]
  • A. Nilsu
    Nilsu is a given name, likely a variant of the Scandinavian name Nils, used as a personal name in some cultures.
  • B. Nulvi
    Nulvi is a small town and comune in the province of Sassari on the Italian island of Sardinia, known for its rural traditions and scenic hilly landscape.
  • C. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • D. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • E. Nalotu
    Nalotu is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian lifestyle and surrounding natural beauty.
  • 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: NILU
Triple: [Norwegian Institute for Air Research, shortName, NILU]
Generated description
NILU is a Norwegian research institute specializing in air quality, atmospheric chemistry, and environmental pollution studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NILU
Target entity description: NILU is a Norwegian research institute specializing in air quality, atmospheric chemistry, and environmental pollution studies.
  • A. Nilsu
    Nilsu is a given name, likely a variant of the Scandinavian name Nils, used as a personal name in some cultures.
  • B. Nulvi
    Nulvi is a small town and comune in the province of Sassari on the Italian island of Sardinia, known for its rural traditions and scenic hilly landscape.
  • C. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • D. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • E. Nalotu
    Nalotu is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian lifestyle and surrounding natural beauty.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341df8dc8190871af068e1f927a2 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09863be3c8190bba357bf64e22917 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c098d936d081909d930fc8b6b3fd67 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c09947c5fc8190ba279ed0f991f9a9 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:53 p.m.