Triple

T13266529
Position Surface form Disambiguated ID Type / Status
Subject Kachin State E315938 entity
Predicate contains P35 FINISHED
Object Sumprabum
Sumprabum is a small town in northern Myanmar that serves as an administrative center within Kachin State.
E1031238 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: Sumprabum | Statement: [Kachin State, contains, Sumprabum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumprabum
Context triple: [Kachin State, contains, Sumprabum]
  • A. Tharmada
    Tharmada is a town in central Saudi Arabia where the Central Najdi dialect of Arabic is commonly spoken.
  • B. Surbung
    Surbung is a subgroup within the Waic ethnolinguistic grouping, likely representing a distinct community or clan with its own cultural and linguistic traits.
  • C. Phaphund
    Phaphund is a town in the Auraiya district of Uttar Pradesh, India, known primarily as a local commercial center and railway junction serving surrounding rural areas.
  • D. Thumrait
    Thumrait is a town in Oman’s Dhofar Governorate known historically as a Bedouin settlement and strategically for its Royal Air Force of Oman air base.
  • E. Ayudhya
    Ayudhya is an alternative name for the Ayutthaya Kingdom, a powerful Siamese kingdom that flourished in present-day Thailand from the 14th to the 18th century.
  • 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: Sumprabum
Triple: [Kachin State, contains, Sumprabum]
Generated description
Sumprabum is a small town in northern Myanmar that serves as an administrative center within Kachin State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sumprabum
Target entity description: Sumprabum is a small town in northern Myanmar that serves as an administrative center within Kachin State.
  • A. Tharmada
    Tharmada is a town in central Saudi Arabia where the Central Najdi dialect of Arabic is commonly spoken.
  • B. Surbung
    Surbung is a subgroup within the Waic ethnolinguistic grouping, likely representing a distinct community or clan with its own cultural and linguistic traits.
  • C. Phaphund
    Phaphund is a town in the Auraiya district of Uttar Pradesh, India, known primarily as a local commercial center and railway junction serving surrounding rural areas.
  • D. Thumrait
    Thumrait is a town in Oman’s Dhofar Governorate known historically as a Bedouin settlement and strategically for its Royal Air Force of Oman air base.
  • E. Ayudhya
    Ayudhya is an alternative name for the Ayutthaya Kingdom, a powerful Siamese kingdom that flourished in present-day Thailand from the 14th to the 18th century.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4cc20881909b1ca6623e5b1988 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70bc5111c8190ae5b098c806bb845 completed May 3, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:25 p.m.