Triple

T20553475
Position Surface form Disambiguated ID Type / Status
Subject National Military Museum E504655 entity
Predicate shortName P43 FINISHED
Object NMM
NMM is the commonly used abbreviation for the National Military Museum, a museum dedicated to military history and heritage.
 E1437129 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: NMM | Statement: [National Military Museum, shortName, NMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NMM
Context triple: [National Military Museum, shortName, NMM]
  • A. NMM
    NMM is the IATA airport code for Naval Air Station Meridian, a U.S. Navy air training facility in Mississippi.
  • B. DNMM
    DNMM is the ICAO airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
  • C. NNM
    NNM is the vehicle registration code assigned to the town of Nowe Miasto Lubawskie in Poland.
  • D. NNMC
    NNMC is the commonly used abbreviation for the National Naval Medical Center, the former U.S. Navy flagship hospital in Bethesda, Maryland.
  • E. NMMC
    NMMC is the Navi Mumbai Municipal Corporation, the local governing body responsible for civic administration and infrastructure in Navi Mumbai, India.
  • 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: NMM
Triple: [National Military Museum, shortName, NMM]
Generated description
NMM is the commonly used abbreviation for the National Military Museum, a museum dedicated to military history and heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NMM
Target entity description: NMM is the commonly used abbreviation for the National Military Museum, a museum dedicated to military history and heritage.
  • A. NMM
    NMM is the IATA airport code for Naval Air Station Meridian, a U.S. Navy air training facility in Mississippi.
  • B. DNMM
    DNMM is the ICAO airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
  • C. NNM
    NNM is the vehicle registration code assigned to the town of Nowe Miasto Lubawskie in Poland.
  • D. NNMC
    NNMC is the commonly used abbreviation for the National Naval Medical Center, the former U.S. Navy flagship hospital in Bethesda, Maryland.
  • E. NMMC
    NMMC is the Navi Mumbai Municipal Corporation, the local governing body responsible for civic administration and infrastructure in Navi Mumbai, India.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5db052c8190801e53f6148113c8 completed April 20, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a573e43c8190918ce8cfbafff788 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a72cda488190b18b50724666ae55 completed May 16, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_6a08a79a373481909c37da1cc810e2d9 completed May 16, 2026, 5:21 p.m.
Created at: April 16, 2026, 11:38 a.m.