Triple

T4526870
Position Surface form Disambiguated ID Type / Status
Subject Konya Province E106200 entity
Predicate regionCodeISO3166-2 P208 FINISHED
Object TR-42
TR-42 is the ISO 3166-2 regional code assigned to Turkey’s Konya Province.
 E449746 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-42 | Statement: [Konya Province, regionCodeISO3166-2, TR-42]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TR-42
Context triple: [Konya Province, regionCodeISO3166-2, TR-42]
  • A. TR-25
    TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
  • B. 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.
  • C. TX-4
    TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
  • D. T-Rac
    T-Rac is the raccoon-themed costumed mascot of the NFL’s Tennessee Titans, known for his energetic antics and fan engagement at games and events.
  • E. 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.
  • 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-42
Triple: [Konya Province, regionCodeISO3166-2, TR-42]
Generated description
TR-42 is the ISO 3166-2 regional code assigned to Turkey’s Konya Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TR-42
Target entity description: TR-42 is the ISO 3166-2 regional code assigned to Turkey’s Konya Province.
  • A. TR-25
    TR-25 is the statistical and administrative region code assigned to Turkey’s Erzurum Province.
  • B. 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.
  • C. TX-4
    TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
  • D. T-Rac
    T-Rac is the raccoon-themed costumed mascot of the NFL’s Tennessee Titans, known for his energetic antics and fan engagement at games and events.
  • E. 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.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda4577d0c8190a88cdf4523446329 completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda8367b988190bd6859581ba9a38e completed March 20, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69bda8b4d064819083de58ee18458fa8 completed March 20, 2026, 8:06 p.m.
Created at: March 20, 2026, 1:03 p.m.