Triple

T12638722
Position Surface form Disambiguated ID Type / Status
Subject Gombe Airport E301834 entity
Predicate ICAOcode P419 FINISHED
Object DNGO
DNGO is the ICAO airport code assigned to Gombe Airport in Nigeria.
E994715 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: DNGO | Statement: [Gombe Airport, ICAOcode, DNGO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNGO
Context triple: [Gombe Airport, ICAOcode, DNGO]
  • A. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • B. DNG
    DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
  • C. Ngo
    Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
  • D. Danangombe
    Danangombe is an important archaeological site in Zimbabwe that served as a major stone-built capital of the Rozvi Empire after the decline of Great Zimbabwe.
  • E. Nggae
    Nggae is an alternative name for the Ghari language spoken in the Solomon 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: DNGO
Triple: [Gombe Airport, ICAOcode, DNGO]
Generated description
DNGO is the ICAO airport code assigned to Gombe Airport in Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DNGO
Target entity description: DNGO is the ICAO airport code assigned to Gombe Airport in Nigeria.
  • A. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • B. DNG
    DNG (Digital Negative) is an open, publicly documented raw image file format developed by Adobe for long-term archival and broad compatibility of digital photographs.
  • C. Ngo
    Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
  • D. Danangombe
    Danangombe is an important archaeological site in Zimbabwe that served as a major stone-built capital of the Rozvi Empire after the decline of Great Zimbabwe.
  • E. Nggae
    Nggae is an alternative name for the Ghari language spoken in the Solomon 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668754acc8190b5585dbd35387867 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697d8ac88190b4ead9ce47f3a705 completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f66a2da60881909b0a689821456bb4 completed May 2, 2026, 9:18 p.m.
Created at: April 9, 2026, 5:16 p.m.