Triple

T35803320

Position	Surface form	Disambiguated ID	Type / Status
Subject	Southeastern Myanmar	`E1035037`	entity
Predicate	hasKarstArea	`P129309`	FINISHED
Object	Hpa-An karst region The Hpa-An karst region is a dramatic limestone landscape in southeastern Myanmar known for its towering cliffs, extensive cave systems, and culturally significant Buddhist sites.	`E2155819`	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: Hpa-An karst region | Statement: [Southeastern Myanmar, hasKarstArea, Hpa-An karst region]

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: Hpa-An karst region
Triple: [Southeastern Myanmar, hasKarstArea, Hpa-An karst region]

Generated description

The Hpa-An karst region is a dramatic limestone landscape in southeastern Myanmar known for its towering cliffs, extensive cave systems, and culturally significant Buddhist sites.

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

Target predicate: hasKarstArea
Context triple: [Southeastern Myanmar, hasKarstArea, Hpa-An karst region]

A. hasKarstTowerFormations
Indicates that the subject possesses or contains karst tower landforms, typically steep or vertical limestone pillars formed by dissolution and erosion.
B. isKarstCave
Indicates that a cave is formed primarily through the dissolution of soluble rocks (such as limestone), characterizing it as a karst-type cave.
C. karstFeature chosen
Indicates a relationship where a geographic entity is identified as, or associated with, a karst-related landform or feature formed by the dissolution of soluble rocks.
D. hasCaves
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
E. hasSpeleothems
Indicates that a cave or subterranean space contains speleothems (mineral formations such as stalactites, stalagmites, or similar deposits).
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_69f76e169bd081909f16cd8c9ee7870c`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69f7a25b62a08190a7f02e4531e9fcce`	completed	May 3, 2026, 7:30 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38916c5da08190ad03035b6c4fca3b`	completed	June 22, 2026, 1:35 a.m.
NEDg	Description generation	`batch_6a3891dc79dc8190bf2482158e0dabed`	completed	June 22, 2026, 1:37 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38925d7c688190afca1a703aea06c3`	completed	June 22, 2026, 1:39 a.m.
PD	Predicate disambiguation	`batch_69f7a070e23881909a233370acb57384`	completed	May 3, 2026, 7:22 p.m.

Created at: May 3, 2026, 4:06 p.m.