Triple

T1534065
Position Surface form Disambiguated ID Type / Status
Subject TAROM E32510 entity
Predicate ICAOcode P419 FINISHED
Object ROT
ROT is the ICAO airline designator for TAROM, the flag carrier airline of Romania.
E174494 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: ROT | Statement: [TAROM, ICAOcode, ROT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ROT
Context triple: [TAROM, ICAOcode, ROT]
  • A. TURN
    TURN (Traversal Using Relays around NAT) is a network protocol used in real-time communications to relay media traffic when direct peer-to-peer connectivity is blocked by firewalls or NAT.
  • B. ROKN
    ROKN is the abbreviation for the Republic of Korea Navy, the maritime branch of South Korea’s armed forces.
  • C. RT
    RT is a Russian state-funded international television network and online media outlet known for its global news coverage and often controversial, Kremlin-aligned perspectives on major events.
  • D. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • E. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • 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: ROT
Triple: [TAROM, ICAOcode, ROT]
Generated description
ROT is the ICAO airline designator for TAROM, the flag carrier airline of Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ROT
Target entity description: ROT is the ICAO airline designator for TAROM, the flag carrier airline of Romania.
  • A. TURN
    TURN (Traversal Using Relays around NAT) is a network protocol used in real-time communications to relay media traffic when direct peer-to-peer connectivity is blocked by firewalls or NAT.
  • B. ROKN
    ROKN is the abbreviation for the Republic of Korea Navy, the maritime branch of South Korea’s armed forces.
  • C. RT
    RT is a Russian state-funded international television network and online media outlet known for its global news coverage and often controversial, Kremlin-aligned perspectives on major events.
  • D. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • E. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295da0988190b1dc171bcdfe4d71 completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad29dc9fd08190b67527f0662c92dc completed March 8, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a4d71a88190b67ed21beebbb479 completed March 8, 2026, 7:50 a.m.
Created at: March 4, 2026, 7:26 p.m.