Triple

T15509986
Position Surface form Disambiguated ID Type / Status
Subject Mongpan E368681 entity
Predicate locatedIn P40 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: [Mongpan, locatedIn, Shan States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shan States
Context triple: [Mongpan, locatedIn, 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. Punjab Hill States
    Punjab Hill States were a group of princely states located in the hilly regions of what is now northern India, particularly in the western Himalayas near Punjab.
  • C. 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.
  • D. Rajpipla State
    Rajpipla State was a former princely state in British India, located in present-day Gujarat.
  • E. Bijawar State
    Bijawar State was a former princely state in British India, located in the Bundelkhand region of present-day Madhya Pradesh.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03fd008708190a3657863eb9ac626 completed April 16, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8759922c8190ae5a5700e3ecc87c completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 3:55 a.m.