Triple

T30583579

Position	Surface form	Disambiguated ID	Type / Status
Subject	Anawrahta	`E778445`	entity
Predicate	nameInBurmese	`P77312`	FINISHED
Object	အနော်ရထာ အနော်ရထာသည် ပုဂံခေတ် ပထမမြန်မာမင်းဆက်ကို တည်ထောင်ကာ မြန်မာနိုင်ငံ၏ ပထမဦးဆုံးအင်ပိုင်ယာကြီးကို ဖွဲ့စည်းခဲ့သော အာဏာရှင်မင်းကြီးဖြစ်သည်။	`E1921097`	NE FINISHED

How this triple was built (3 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: အနော်ရထာ | Statement: [Anawrahta, nameInBurmese, အနော်ရထာ]

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: အနော်ရထာ
Triple: [Anawrahta, nameInBurmese, အနော်ရထာ]

Generated description

အနော်ရထာသည် ပုဂံခေတ် ပထမမြန်မာမင်းဆက်ကို တည်ထောင်ကာ မြန်မာနိုင်ငံ၏ ပထမဦးဆုံးအင်ပိုင်ယာကြီးကို ဖွဲ့စည်းခဲ့သော အာဏာရှင်မင်းကြီးဖြစ်သည်။

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: nameInBurmese
Context triple: [Anawrahta, nameInBurmese, အနော်ရထာ]

A. hasNameInBurmese chosen
Indicates that an entity is associated with a specific name expressed in the Burmese language.
B. nameInTaiAhom
Indicates that an entity’s name is given in the Tai Ahom language or script.
C. nameInBengali
Indicates that an entity’s name is expressed in the Bengali language.
D. nameInVietnamese
Indicates that one entity is the Vietnamese-language name or designation of another entity.
E. nameInTibetan
Indicates that an entity’s name is expressed or written in the Tibetan language.
F. None of above.

Provenance (6 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_69f224a04b248190b0ca443ec86207b8`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f6953bafb88190a860e9c68a3dd4b2`	completed	May 3, 2026, 12:22 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a28570b74c4819082f03d0517b25cdc`	completed	June 9, 2026, 6:10 p.m.
NEDg	Description generation	`batch_6a2857df4f108190aff6a5ec5a3ee305`	completed	June 9, 2026, 6:13 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2858b75ed08190b2c62775ccdf9fd3`	completed	June 9, 2026, 6:17 p.m.
PD	Predicate disambiguation	`batch_69f690ed5d008190831cf8e44cce28af`	completed	May 3, 2026, 12:03 a.m.

Created at: April 29, 2026, 8:23 p.m.