Triple

T12749267
Position Surface form Disambiguated ID Type / Status
Subject Tai Yai E304686 entity
Predicate historicalPolity P8531 FINISHED
Object Shan States E75189 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: Shan States | Statement: [Tai Yai, historicalPolity, Shan States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shan States
Context triple: [Tai Yai, historicalPolity, Shan States]
  • A. Shan States chosen
    The Shan States were a collection of semi-autonomous, traditionally ruled principalities in what is now eastern Myanmar, historically inhabited by the Shan people and later organized as a distinct administrative region under British colonial rule.
  • B. Samthar State
    Samthar State was a former princely state in colonial India, located in what is now Uttar Pradesh and ruled by a local dynasty under British suzerainty.
  • C. Rajpipla State
    Rajpipla State was a former princely state in British India, located in present-day Gujarat.
  • D. Bijawar State
    Bijawar State was a former princely state in British India, located in the Bundelkhand region of present-day Madhya Pradesh.
  • E. Maharawat
    Maharawat is a hereditary royal title historically used by the ruling monarchs of certain princely states in India, including Pratapgarh.
  • 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_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.
Created at: April 9, 2026, 5:27 p.m.