Triple

T24800479

Position	Surface form	Disambiguated ID	Type / Status
Subject	Rooster Dragon Mountain	`E620508`	entity
Predicate	hasHighestPeakName	`P160072`	FINISHED
Object	Cheonhwangbong Cheonhwangbong is the highest summit of Rooster Dragon Mountain, renowned as a prominent hiking destination with expansive scenic views.	`E1708120`	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: Cheonhwangbong | Statement: [Rooster Dragon Mountain, hasHighestPeakName, Cheonhwangbong]

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: Cheonhwangbong
Triple: [Rooster Dragon Mountain, hasHighestPeakName, Cheonhwangbong]

Generated description

Cheonhwangbong is the highest summit of Rooster Dragon Mountain, renowned as a prominent hiking destination with expansive scenic views.

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

Target predicate: hasHighestPeakName
Context triple: [Rooster Dragon Mountain, hasHighestPeakName, Cheonhwangbong]

A. hasHighestPointAboveSeaLevel
Indicates that the highest point of one entity is located at a greater elevation above sea level than that of another entity.
B. containsHighestPointOf
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
C. countryHighestPeak
Indicates that a given peak is the tallest mountain within the specified country.
D. prominenceOfHighestPeak_m
Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
E. elevationOfHighestPeak_ft
Indicates the height, in feet, of the tallest peak associated with the given entity.
F. None of above. chosen

Provenance (7 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_69e2fabe77c8819085f7ce6486248139`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f6018f91248190985323d1a678e539`	completed	May 2, 2026, 1:52 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a111adc3d048190878d6190200042b1`	completed	May 23, 2026, 3:11 a.m.
NEDg	Description generation	`batch_6a111c0a65f881908a29d01412627de9`	completed	May 23, 2026, 3:16 a.m.
NED2	Entity disambiguation (via description)	`batch_6a111ca03b088190937f673d972fdca2`	completed	May 23, 2026, 3:18 a.m.
PD	Predicate disambiguation	`batch_69f5f7f99dc08190afcfb3bc4dfbec1d`	completed	May 2, 2026, 1:11 p.m.
PDg	Predicate description generation	`batch_69f5ffc6268c8190b63f6360ebadab73`	completed	May 2, 2026, 1:44 p.m.

Created at: April 18, 2026, 4:49 a.m.