Triple

T30062868
Position Surface form Disambiguated ID Type / Status
Subject Ramesses VII E763940 entity
Predicate associatedSite P2830 FINISHED
Object Valley of the Kings KV1
Valley of the Kings KV1 is the rock-cut tomb in Egypt’s Valley of the Kings that served as the burial place of the Twentieth Dynasty pharaoh Ramesses VII.
E1898022 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: Valley of the Kings KV1 | Statement: [Ramesses VII, associatedSite, Valley of the Kings KV1]
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: Valley of the Kings KV1
Triple: [Ramesses VII, associatedSite, Valley of the Kings KV1]
Generated description
Valley of the Kings KV1 is the rock-cut tomb in Egypt’s Valley of the Kings that served as the burial place of the Twentieth Dynasty pharaoh Ramesses VII.

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_69f2247221388190a13a22c47094a0ef completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ca4dc388190a6f3cf48f2fad819 completed May 2, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27324ec51481909eeba7de2693830e completed June 8, 2026, 9:21 p.m.
NEDg Description generation batch_6a273412bb148190b807e5f7054478e3 completed June 8, 2026, 9:28 p.m.
NED2 Entity disambiguation (via description) batch_6a2734afdee081908b9e8400be7766da completed June 8, 2026, 9:31 p.m.
Created at: April 29, 2026, 6:58 p.m.