Triple

T26305426
Position Surface form Disambiguated ID Type / Status
Subject El Kab E661667 entity
Predicate hasNotableTomb P3803 FINISHED
Object Tomb of Setau
The Tomb of Setau is an ancient Egyptian rock-cut burial monument at El Kab belonging to Setau, a high-ranking official, notable for its inscriptions and reliefs that shed light on New Kingdom provincial life and administration.
E1724584 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: Tomb of Setau | Statement: [El Kab, hasNotableTomb, Tomb of Setau]
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: Tomb of Setau
Triple: [El Kab, hasNotableTomb, Tomb of Setau]
Generated description
The Tomb of Setau is an ancient Egyptian rock-cut burial monument at El Kab belonging to Setau, a high-ranking official, notable for its inscriptions and reliefs that shed light on New Kingdom provincial life and administration.

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_69ee812dacfc81908484aade9120fba9 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60ee2f18481908de53cc9872e96f4 completed May 2, 2026, 2:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aea64c80819096faec0e9369f8f5 completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11afe7f1f0819097ec0208368b6409 completed May 23, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_6a11b0a521b08190bfda23906722482c completed May 23, 2026, 1:50 p.m.
Created at: April 26, 2026, 10:18 p.m.