Triple

T11430386
Position Surface form Disambiguated ID Type / Status
Subject El Telagh E270862 entity
Predicate countryCode P208 FINISHED
Object DZ
DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
 E924932 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: DZ | Statement: [El Telagh, countryCode, DZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DZ
Context triple: [El Telagh, countryCode, DZ]
  • A. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • B. Ddz
    Ddz is the official station code used to identify Dordrecht Zuid railway station in the Netherlands.
  • C. DZA
    DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
  • D. DZA
    DZA is the IATA airport code for Dzaoudzi–Pamandzi International Airport, the main air gateway to the French overseas department of Mayotte in the Indian Ocean.
  • E. Dz.U.
    Dz.U. is the standard Polish abbreviation for the Journal of Laws of the Republic of Poland, the official publication for promulgating national legislation and legal acts.
  • 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: DZ
Triple: [El Telagh, countryCode, DZ]
Generated description
DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DZ
Target entity description: DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • A. DZG
    DZG is the vehicle registration code assigned to cars registered in the Bogatynia area of Poland.
  • B. Ddz
    Ddz is the official station code used to identify Dordrecht Zuid railway station in the Netherlands.
  • C. DZA
    DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
  • D. DZA
    DZA is the IATA airport code for Dzaoudzi–Pamandzi International Airport, the main air gateway to the French overseas department of Mayotte in the Indian Ocean.
  • E. Dz.U.
    Dz.U. is the standard Polish abbreviation for the Journal of Laws of the Republic of Poland, the official publication for promulgating national legislation and legal acts.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c1bfb881909720c74fe0fa837f completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8d923688190bb4d61d57768e10e completed April 20, 2026, 5:25 a.m.
NEDg Description generation batch_69e5c28e2dd481909b45a43b5825f393 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c4722c348190a4c49edb1f6df240 completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:35 p.m.