Triple

T12749293
Position Surface form Disambiguated ID Type / Status
Subject Shan language E304687 entity
Predicate hasDialects P4251 FINISHED
Object Tai Long
Tai Long is a dialect of the Shan language spoken by Shan communities in parts of Myanmar and neighboring regions.
E999415 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: Tai Long | Statement: [Shan language, hasDialects, Tai Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tai Long
Context triple: [Shan language, hasDialects, Tai Long]
  • A. Haad Tien
    Haad Tien is a quiet, scenic beach on Thailand’s Ko Pha Ngan island, known for its relaxed atmosphere, clear waters, and natural surroundings.
  • B. Koh Ngai
    Koh Ngai is a small, tranquil Thai island in the Andaman Sea known for its white-sand beaches, clear turquoise waters, and relaxed, low-key resort atmosphere.
  • C. O-Lan
    O-Lan is a stoic, long-suffering peasant woman whose strength, resilience, and quiet sacrifice are central to Pearl S. Buck’s novel "The Good Earth."
  • D. Langho
    Langho is a village in Lancashire, England, situated within the rural borough of Ribble Valley.
  • E. Taishi
    Taishi was the first era name used by Emperor Wu of the Western Han dynasty, marking an important early phase of his long and influential reign in ancient China.
  • 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: Tai Long
Triple: [Shan language, hasDialects, Tai Long]
Generated description
Tai Long is a dialect of the Shan language spoken by Shan communities in parts of Myanmar and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tai Long
Target entity description: Tai Long is a dialect of the Shan language spoken by Shan communities in parts of Myanmar and neighboring regions.
  • A. Haad Tien
    Haad Tien is a quiet, scenic beach on Thailand’s Ko Pha Ngan island, known for its relaxed atmosphere, clear waters, and natural surroundings.
  • B. Koh Ngai
    Koh Ngai is a small, tranquil Thai island in the Andaman Sea known for its white-sand beaches, clear turquoise waters, and relaxed, low-key resort atmosphere.
  • C. O-Lan
    O-Lan is a stoic, long-suffering peasant woman whose strength, resilience, and quiet sacrifice are central to Pearl S. Buck’s novel "The Good Earth."
  • D. Langho
    Langho is a village in Lancashire, England, situated within the rural borough of Ribble Valley.
  • E. Taishi
    Taishi was the first era name used by Emperor Wu of the Western Han dynasty, marking an important early phase of his long and influential reign in ancient China.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd75f508190aaae0969f33d1523 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c964c508190b4d6a094b388280b completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d663fd08190a00b30a7ff260c70 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e12b8148190958b63ba114d6221 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:27 p.m.