Triple

T24696178
Position Surface form Disambiguated ID Type / Status
Subject tomb chapel of Meresankh III at Giza E611590 entity
Predicate siteCode P8090 FINISHED
Object G 7530–7540 complex
The G 7530–7540 complex is an Old Kingdom funerary complex at the Giza Plateau that includes the mastaba and decorated tomb chapel of the royal woman Meresankh III.
 E1647523 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: G 7530–7540 complex | Statement: [tomb chapel of Meresankh III at Giza, siteCode, G 7530–7540 complex]
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: G 7530–7540 complex
Triple: [tomb chapel of Meresankh III at Giza, siteCode, G 7530–7540 complex]
Generated description
The G 7530–7540 complex is an Old Kingdom funerary complex at the Giza Plateau that includes the mastaba and decorated tomb chapel of the royal woman Meresankh III.

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_69e2c4d76d148190b58ad612467149a5 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40fdcf6c8819080e2fb6001547d3b completed May 1, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1010068630819091ba3c7edfd78438 completed May 22, 2026, 8:12 a.m.
NEDg Description generation batch_6a10136b70f4819096d05c3f3fed09c2 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10145c05c88190a29367197865506c completed May 22, 2026, 8:31 a.m.
Created at: April 18, 2026, 3:21 a.m.