Triple

T26997324

Position	Surface form	Disambiguated ID	Type / Status
Subject	Institute of Engineering	`E680009`	entity
Predicate	hasConstituentCampus	`P116`	FINISHED
Object	Pulchowk Campus Pulchowk Campus is a leading engineering college in Nepal, renowned for its rigorous academic programs and research under Tribhuvan University.	`E1751243`	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: Pulchowk Campus | Statement: [Institute of Engineering, hasConstituentCampus, Pulchowk Campus]

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: Pulchowk Campus
Triple: [Institute of Engineering, hasConstituentCampus, Pulchowk Campus]

Generated description

Pulchowk Campus is a leading engineering college in Nepal, renowned for its rigorous academic programs and research under Tribhuvan University.

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

Target predicate: hasConstituentCampus
Context triple: [Institute of Engineering, hasConstituentCampus, Pulchowk Campus]

A. hasSubCampus
Indicates that an institution or main campus includes or is associated with a smaller, subordinate campus as part of its organizational structure.
B. hasSiblingCampus
Indicates that one campus is recognized as a sibling or peer campus of another within the same institution or organizational network.
C. constituentCampusOf
Indicates that one campus is a constituent or component part of a larger educational institution or university system.
D. hasAdditionalCampus chosen
Indicates that an educational institution maintains one or more campuses in addition to its primary or main campus.
E. hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
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_69eeeb52908c8190bd246244686aa455`	completed	April 27, 2026, 4:51 a.m.
NER	Named-entity recognition	`batch_69fea2d0a4d08190aa06aeb902a02d5a`	completed	May 9, 2026, 2:58 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1229ba255c8190b1bef7716cce70ef`	completed	May 23, 2026, 10:27 p.m.
NEDg	Description generation	`batch_6a122a9dabb081908ed47a5d4624d9c6`	completed	May 23, 2026, 10:30 p.m.
NED2	Entity disambiguation (via description)	`batch_6a122b4b3c488190b95edec5469dfd71`	completed	May 23, 2026, 10:33 p.m.
PD	Predicate disambiguation	`batch_69fea24698348190b9b992a8e7cdbcd0`	completed	May 9, 2026, 2:56 a.m.

Created at: April 27, 2026, 6:55 a.m.