Triple

T12478488
Position Surface form Disambiguated ID Type / Status
Subject Moscow–Tokyo E298237 entity
Predicate IATACodeOrigin P418 FINISHED
Object MOW
MOW is the IATA city code representing Moscow’s airports in Russia.
 E984135 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: MOW | Statement: [Moscow–Tokyo, IATACodeOrigin, MOW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOW
Context triple: [Moscow–Tokyo, IATACodeOrigin, MOW]
  • A. MOW
    MOW is a dense, salty water mass originating from the Mediterranean Sea that flows into the Atlantic Ocean and significantly influences its thermohaline circulation.
  • B. MOWW
    MOWW is a patriotic, nonpartisan U.S. veterans’ organization composed of commissioned officers and their descendants that promotes national security, good citizenship, and youth leadership.
  • C. Mowe
    Mowe is a rapidly developing suburban town in Ogun State, Nigeria, situated along the key Lagos–Ibadan transport and economic corridor.
  • D. Mou
    Mou is a popular nickname for José Mourinho, the renowned Portuguese football manager famously dubbed "The Special One."
  • E. Moʼ
    Moʼ is the name element of the early Classic Maya ruler Kʼinich Yax Kʼukʼ Moʼ, founder of the Copán dynasty.
  • 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: MOW
Triple: [Moscow–Tokyo, IATACodeOrigin, MOW]
Generated description
MOW is the IATA city code representing Moscow’s airports in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOW
Target entity description: MOW is the IATA city code representing Moscow’s airports in Russia.
  • A. MOW
    MOW is a dense, salty water mass originating from the Mediterranean Sea that flows into the Atlantic Ocean and significantly influences its thermohaline circulation.
  • B. MOWW
    MOWW is a patriotic, nonpartisan U.S. veterans’ organization composed of commissioned officers and their descendants that promotes national security, good citizenship, and youth leadership.
  • C. Mowe
    Mowe is a rapidly developing suburban town in Ogun State, Nigeria, situated along the key Lagos–Ibadan transport and economic corridor.
  • D. Mou
    Mou is a popular nickname for José Mourinho, the renowned Portuguese football manager famously dubbed "The Special One."
  • E. Moʼ
    Moʼ is the name element of the early Classic Maya ruler Kʼinich Yax Kʼukʼ Moʼ, founder of the Copán dynasty.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcc24e48190ae9c367a03f659f4 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2732a08190890493925e41a6e1 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f640b513488190893359e9964dbe98 completed May 2, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_69f641abe114819093d99a327f2220c2 completed May 2, 2026, 6:25 p.m.
Created at: April 8, 2026, 9:56 p.m.