Triple

T25236623

Position	Surface form	Disambiguated ID	Type / Status
Subject	Four Day War	`E632354`	entity
Predicate	isPartOfRelations	`P10186`	FINISHED
Object	Egypt–Libya relations Egypt–Libya relations encompass the historically complex and often tense diplomatic, military, and economic interactions between the neighboring North African states of Egypt and Libya.	`E1672720`	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: Egypt–Libya relations | Statement: [Four Day War, isPartOfRelations, Egypt–Libya relations]

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: Egypt–Libya relations
Triple: [Four Day War, isPartOfRelations, Egypt–Libya relations]

Generated description

Egypt–Libya relations encompass the historically complex and often tense diplomatic, military, and economic interactions between the neighboring North African states of Egypt and Libya.

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

Target predicate: isPartOfRelations
Context triple: [Four Day War, isPartOfRelations, Egypt–Libya relations]

A. deJurePartOf
Indicates that one entity is legally or formally recognized as a constituent part or subdivision of another entity, according to official rules or law.
B. hasPartIn chosen
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
C. isAComponentOf
Indicates that one entity functions as a constituent part or sub-unit of another, larger entity.
D. isOnlyPartOf
Indicates that an entity is a component exclusively of a specific whole and not of any other whole.
E. structurePartOf
Indicates that one structure is a constituent or component of a larger, encompassing structure.
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_69e75a8ec5f88190b9eba06ae42b413a`	completed	April 21, 2026, 11:07 a.m.
NER	Named-entity recognition	`batch_69f66c5c13808190887180099745673b`	completed	May 2, 2026, 9:27 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1067e21d848190b5740d7317ceb5cb`	completed	May 22, 2026, 2:27 p.m.
NEDg	Description generation	`batch_6a106976b50c8190a001857502de19ca`	completed	May 22, 2026, 2:34 p.m.
NED2	Entity disambiguation (via description)	`batch_6a106a510e208190894bcbb3d36b92dd`	completed	May 22, 2026, 2:38 p.m.
PD	Predicate disambiguation	`batch_69f66abddc448190a488852f8abdeb2c`	completed	May 2, 2026, 9:21 p.m.

Created at: April 21, 2026, 1:07 p.m.