Triple

T26512063

Position	Surface form	Disambiguated ID	Type / Status
Subject	Giza royal family	`E669709`	entity
Predicate	burialSite	`P196`	FINISHED
Object	Mastaba tombs at Giza The Mastaba tombs at Giza are flat-roofed, rectangular ancient Egyptian tombs built near the Great Pyramids to house and honor members of the royal family and elite officials.	`E1727655`	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: Mastaba tombs at Giza | Statement: [Giza royal family, burialSite, Mastaba tombs at Giza]

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: Mastaba tombs at Giza
Triple: [Giza royal family, burialSite, Mastaba tombs at Giza]

Generated description

The Mastaba tombs at Giza are flat-roofed, rectangular ancient Egyptian tombs built near the Great Pyramids to house and honor members of the royal family and elite officials.

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_69eeb319ec70819090834c2591cf5f1e`	completed	April 27, 2026, 12:51 a.m.
NER	Named-entity recognition	`batch_69f61392ec5081909382ace560650d77`	completed	May 2, 2026, 3:09 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a11bb3f7b908190a6d763a270f929f6`	completed	May 23, 2026, 2:35 p.m.
NEDg	Description generation	`batch_6a11be61ba0c8190b932a96eda11e624`	completed	May 23, 2026, 2:49 p.m.
NED2	Entity disambiguation (via description)	`batch_6a11bf3635308190aad4d7a3f35b81df`	completed	May 23, 2026, 2:52 p.m.

Created at: April 27, 2026, 1:21 a.m.