Triple

T9192306
Position Surface form Disambiguated ID Type / Status
Subject Waic E220618 entity
Predicate closelyRelatedTo P37 FINISHED
Object Palaung E775990 NE FINISHED

How this triple was built (2 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: Palaung | Statement: [Waic, closelyRelatedTo, Palaung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palaung
Context triple: [Waic, closelyRelatedTo, Palaung]
  • A. Ruching Palaung
    Ruching Palaung is a regional dialect of the Palaung language spoken by Palaung communities in parts of mainland Southeast Asia.
  • B. Kawthaung
    Kawthaung is a coastal town in southern Myanmar that serves as a key gateway for cross-border trade and travel with Thailand.
  • C. Ta’ang chosen
    Ta’ang is a Mon–Khmer language spoken primarily by the Ta’ang (Palaung) ethnic group in parts of Myanmar and neighboring regions.
  • D. Tanintharyi
    Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
  • E. Yawnghwe
    Yawnghwe is a historically significant Shan principality and town in present-day Myanmar, known for its royal palace and role as a former Shan State capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c077b4819086c74e91ee4bd75e completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c2bb2c481909db8c223aececf37 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.