Triple

T24919630

Position	Surface form	Disambiguated ID	Type / Status
Subject	Grande École Programme (Master in Management)	`E624084`	entity
Predicate	hasCampusOption	`P116`	FINISHED
Object	Rabat campus Rabat campus is an international branch campus offering the Grande École Master in Management program in Morocco’s capital city.	`E1655995`	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: Rabat campus | Statement: [Grande École Programme (Master in Management), hasCampusOption, Rabat 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: Rabat campus
Triple: [Grande École Programme (Master in Management), hasCampusOption, Rabat campus]

Generated description

Rabat campus is an international branch campus offering the Grande École Master in Management program in Morocco’s capital city.

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

Target predicate: hasCampusOption
Context triple: [Grande École Programme (Master in Management), hasCampusOption, Rabat campus]

A. hasCampusState
Indicates that an institution’s campus is located within a specified state or state-level administrative region.
B. hasAdditionalCampus chosen
Indicates that an educational institution maintains one or more campuses in addition to its primary or main campus.
C. hasCollegeCampus
Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
D. hasOnlineCampus
Indicates that an institution or organization offers a campus or learning environment that is accessible via the internet.
E. hasSurfaceCampus
Indicates that one entity (typically an institution) maintains a physical campus or site located on the surface of another entity (such as a planet or celestial body).
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_69e2fac889c081908e9ff686cb428e5a`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f48b9b687881908fd87a2f5fa0b1e7`	completed	May 1, 2026, 11:16 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1033307acc81908f47d2848fed36d2`	completed	May 22, 2026, 10:42 a.m.
NEDg	Description generation	`batch_6a1033edb6848190b35070d8784af90e`	completed	May 22, 2026, 10:46 a.m.
NED2	Entity disambiguation (via description)	`batch_6a10348fb55c819087a28d4a7280589c`	completed	May 22, 2026, 10:48 a.m.
PD	Predicate disambiguation	`batch_69f48060597c8190a4414e4e4fcb1fec`	completed	May 1, 2026, 10:28 a.m.

Created at: April 18, 2026, 5:28 a.m.