Triple

T25268718

Position	Surface form	Disambiguated ID	Type / Status
Subject	Lycée Polyvalent Camille Pissarro	`E633503`	entity
Predicate	academy	`P126068`	FINISHED
Object	Académie de Créteil The Académie de Créteil is a French regional education authority overseeing primary and secondary schools, as well as some higher education institutions, in the eastern suburbs of Paris.	`E1670572`	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: Académie de Créteil | Statement: [Lycée Polyvalent Camille Pissarro, academy, Académie de Créteil]

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: Académie de Créteil
Triple: [Lycée Polyvalent Camille Pissarro, academy, Académie de Créteil]

Generated description

The Académie de Créteil is a French regional education authority overseeing primary and secondary schools, as well as some higher education institutions, in the eastern suburbs of Paris.

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

Target predicate: academy
Context triple: [Lycée Polyvalent Camille Pissarro, academy, Académie de Créteil]

A. academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
B. isAcademy chosen
Indicates that an entity functions as or is classified as an academy (an educational or training institution).
C. developmentAcademy
Indicates a relationship where an academy is responsible for or involved in the development, training, or educational advancement of individuals or groups.
D. academyGraduateOf
Indicates that a person has graduated from or successfully completed a program at a particular academy.
E. hasAcademy
Indicates that an entity possesses, operates, or is formally associated with an academy as part of its structure or offerings.
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_69e75a92f48881909974ff9c11150a2e`	completed	April 21, 2026, 11:08 a.m.
NER	Named-entity recognition	`batch_69f48b9ea0e0819086d44dc5f6a2bd55`	completed	May 1, 2026, 11:16 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1067f85e4c8190865174db452467e0`	completed	May 22, 2026, 2:28 p.m.
NEDg	Description generation	`batch_6a10688409f08190b8bcc73b7a02b6b8`	completed	May 22, 2026, 2:30 p.m.
NED2	Entity disambiguation (via description)	`batch_6a106999f18c819085d27328b7f8f79e`	completed	May 22, 2026, 2:35 p.m.
PD	Predicate disambiguation	`batch_69f4806d93dc8190b9dff4c63186faff`	completed	May 1, 2026, 10:29 a.m.

Created at: April 21, 2026, 1:16 p.m.