Triple

T9522081
Position Surface form Disambiguated ID Type / Status
Subject Shan State E229667 entity
Predicate containsCity P294 FINISHED
Object Hsipaw
Hsipaw is a historic riverside town in northern Myanmar known for its Shan cultural heritage, hill-country scenery, and popularity as a trekking base.
 E803889 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: Hsipaw | Statement: [Shan State, containsCity, Hsipaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hsipaw
Context triple: [Shan State, containsCity, Hsipaw]
  • A. Parwanoo
    Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
  • B. Pa’O
    Pa’O is a Karenic ethnic group of Myanmar and Thailand with its own distinct Tibeto-Burman language and cultural traditions.
  • C. Ta’ang
    Ta’ang is a Mon–Khmer language spoken primarily by the Ta’ang (Palaung) ethnic group in parts of Myanmar and neighboring regions.
  • D. Mongpan
    Mongpan is a historic Shan principality in what is now Myanmar, known as one of the traditional Shan States.
  • E. Thantlang
    Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
  • 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: Hsipaw
Triple: [Shan State, containsCity, Hsipaw]
Generated description
Hsipaw is a historic riverside town in northern Myanmar known for its Shan cultural heritage, hill-country scenery, and popularity as a trekking base.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hsipaw
Target entity description: Hsipaw is a historic riverside town in northern Myanmar known for its Shan cultural heritage, hill-country scenery, and popularity as a trekking base.
  • A. Parwanoo
    Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
  • B. Pa’O
    Pa’O is a Karenic ethnic group of Myanmar and Thailand with its own distinct Tibeto-Burman language and cultural traditions.
  • C. Ta’ang
    Ta’ang is a Mon–Khmer language spoken primarily by the Ta’ang (Palaung) ethnic group in parts of Myanmar and neighboring regions.
  • D. Mongpan
    Mongpan is a historic Shan principality in what is now Myanmar, known as one of the traditional Shan States.
  • E. Thantlang
    Thantlang is a town in western Myanmar known for its predominantly Chin population and its location in the hilly, remote region near the India–Myanmar border.
  • 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.