Triple

T4109558
Position Surface form Disambiguated ID Type / Status
Subject Erzurum Province E88537 entity
Predicate regionCode P208 FINISHED
Object TR-25
TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
 E414218 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: TR-25 | Statement: [Erzurum Province, regionCode, TR-25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TR-25
Context triple: [Erzurum Province, regionCode, TR-25]
  • A. TR-1A
    The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
  • B. T-25 Universal
    The T-25 Universal is a Brazilian-designed military trainer aircraft widely used for basic flight instruction and pilot training.
  • C. TX-22
    TX-22 is a United States congressional district in Texas that encompasses suburban areas southwest of Houston and is represented in the U.S. House of Representatives.
  • D. TX-27
    TX-27 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • E. TX-35
    TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
  • 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: TR-25
Triple: [Erzurum Province, regionCode, TR-25]
Generated description
TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TR-25
Target entity description: TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
  • A. TR-1A
    The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
  • B. T-25 Universal
    The T-25 Universal is a Brazilian-designed military trainer aircraft widely used for basic flight instruction and pilot training.
  • C. TX-22
    TX-22 is a United States congressional district in Texas that encompasses suburban areas southwest of Houston and is represented in the U.S. House of Representatives.
  • D. TX-27
    TX-27 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • E. TX-35
    TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dbe9808190aefdc89e426cc4de completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
NEDg Description generation batch_69b56f7c95988190991350cfbdda9dde completed March 14, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69b56fd9293c8190ac60091bc4c447ef completed March 14, 2026, 2:25 p.m.
Created at: March 9, 2026, 3:41 p.m.