Triple

T13756068
Position Surface form Disambiguated ID Type / Status
Subject Northern Gulf Institute E330476 entity
Predicate abbreviation P43 FINISHED
Object NGI
NGI is a research consortium focused on studying and addressing environmental and ecological issues in the northern Gulf of Mexico region.
 E1059012 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: NGI | Statement: [Northern Gulf Institute, abbreviation, NGI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NGI
Context triple: [Northern Gulf Institute, abbreviation, NGI]
  • A. NGI
    NGI (Next Generation Identification) is the FBI’s advanced biometric identification system that expands and modernizes fingerprint and related data services for law enforcement and national security.
  • B. NGI
    NGI is the vehicle registration code assigned to the municipality of Ryn in Poland.
  • C. ngi
    ngi is the ISO 639-3 language code for Ngizim, a West Chadic language spoken primarily in northeastern Nigeria.
  • D. NGP
    NGP is the station code for Nagpur Junction, a major railway hub in central India on the Indian Railways network.
  • E. NGW
    NGW is the three-letter station code for North Greenwich Underground station on the Jubilee line of the London Underground.
  • 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: NGI
Triple: [Northern Gulf Institute, abbreviation, NGI]
Generated description
NGI is a research consortium focused on studying and addressing environmental and ecological issues in the northern Gulf of Mexico region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NGI
Target entity description: NGI is a research consortium focused on studying and addressing environmental and ecological issues in the northern Gulf of Mexico region.
  • A. NGI
    NGI (Next Generation Identification) is the FBI’s advanced biometric identification system that expands and modernizes fingerprint and related data services for law enforcement and national security.
  • B. NGI
    NGI is the vehicle registration code assigned to the municipality of Ryn in Poland.
  • C. ngi
    ngi is the ISO 639-3 language code for Ngizim, a West Chadic language spoken primarily in northeastern Nigeria.
  • D. NGP
    NGP is the station code for Nagpur Junction, a major railway hub in central India on the Indian Railways network.
  • E. NGW
    NGW is the three-letter station code for North Greenwich Underground station on the Jubilee line of the London Underground.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02179c948190a652cc8c586e418f completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a859e6748190aa1899830a02b710 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a91edc288190a95079e3ca11cfa7 completed May 3, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9c3c6548190802e1163c9c35b67 completed May 3, 2026, 8:02 p.m.
Created at: April 9, 2026, 10:09 p.m.