Triple

T36713340

Position	Surface form	Disambiguated ID	Type / Status
Subject	Coat of arms of the Federation of Arab Republics	`E906851`	entity
Predicate	country	`P26`	FINISHED
Object	Federation of Arab Republics The Federation of Arab Republics was a short-lived political union in the early 1970s that attempted to unite Egypt, Libya, and Syria under a single federal state.	`E2195711`	NE FINISHED

How this triple was built (2 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: Federation of Arab Republics | Statement: [Coat of arms of the Federation of Arab Republics, country, Federation of Arab Republics]

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: Federation of Arab Republics
Triple: [Coat of arms of the Federation of Arab Republics, country, Federation of Arab Republics]

Generated description

The Federation of Arab Republics was a short-lived political union in the early 1970s that attempted to unite Egypt, Libya, and Syria under a single federal state.

Provenance (5 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_69f76e73ad108190a5241585f2303e9a`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_69f7c8161dfc8190890b03483f8524c1`	completed	May 3, 2026, 10:11 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3a3833489c8190a93af45fb7f005fe`	completed	June 23, 2026, 7:39 a.m.
NEDg	Description generation	`batch_6a3a394dd37c8190a4980231c3eab440`	completed	June 23, 2026, 7:44 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3a3a7a76288190ab3266944842247f`	completed	June 23, 2026, 7:49 a.m.

Created at: May 3, 2026, 4:12 p.m.