Triple

T9522080
Position Surface form Disambiguated ID Type / Status
Subject Shan State E229667 entity
Predicate containsCity P294 FINISHED
Object Muse
Muse is a major border town in Myanmar’s Shan State that serves as a key trade gateway between Myanmar and China.
 E803888 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: Muse | Statement: [Shan State, containsCity, Muse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muse
Context triple: [Shan State, containsCity, Muse]
  • A. Muse
    Muse is a British rock band known for its dramatic fusion of alternative rock, progressive elements, and electronic influences, as well as its theatrical live performances.
  • B. Muse
    Muse is a masculine given name most notably borne by American actor Muse Watson.
  • C. MUSE
    MUSE is an advanced integral-field spectrograph used in optical astronomy to capture detailed spatial and spectral information from celestial objects.
  • D. MUSE
    MUSE is a prominent science museum in Trento, Italy, known for its interactive exhibits on nature, technology, and sustainability.
  • E. Thirty Seconds to Mars
    Thirty Seconds to Mars is an American rock band known for its cinematic sound, anthemic choruses, and visually ambitious music videos and live performances.
  • 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: Muse
Triple: [Shan State, containsCity, Muse]
Generated description
Muse is a major border town in Myanmar’s Shan State that serves as a key trade gateway between Myanmar and China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muse
Target entity description: Muse is a major border town in Myanmar’s Shan State that serves as a key trade gateway between Myanmar and China.
  • A. Muse
    Muse is a British rock band known for its dramatic fusion of alternative rock, progressive elements, and electronic influences, as well as its theatrical live performances.
  • B. Muse
    Muse is a masculine given name most notably borne by American actor Muse Watson.
  • C. MUSE
    MUSE is an advanced integral-field spectrograph used in optical astronomy to capture detailed spatial and spectral information from celestial objects.
  • D. MUSE
    MUSE is a prominent science museum in Trento, Italy, known for its interactive exhibits on nature, technology, and sustainability.
  • E. Thirty Seconds to Mars
    Thirty Seconds to Mars is an American rock band known for its cinematic sound, anthemic choruses, and visually ambitious music videos and live performances.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd989788e4819086c235bf37a56b04 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a5cd2d881908b27649b396c50a1 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13be79b1c8190a9110312ae25cf32 completed April 4, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69d13ca165b88190b4d629df0e079b3b completed April 4, 2026, 4:30 p.m.
Created at: March 30, 2026, 7:59 p.m.