Triple

T30113448
Position Surface form Disambiguated ID Type / Status
Subject Tell Halaf E765347 entity
Predicate excavatedBy P7650 FINISHED
Object Max von Oppenheim
Max von Oppenheim was a German archaeologist and diplomat best known for his pioneering excavations at the ancient Near Eastern site of Tell Halaf in present-day Syria.
 E1904171 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: Max von Oppenheim | Statement: [Tell Halaf, excavatedBy, Max von Oppenheim]
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: Max von Oppenheim
Triple: [Tell Halaf, excavatedBy, Max von Oppenheim]
Generated description
Max von Oppenheim was a German archaeologist and diplomat best known for his pioneering excavations at the ancient Near Eastern site of Tell Halaf in present-day Syria.

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_69f22475ad7c8190be7f9541044a0bbb completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67dc294488190af7314b78253404e completed May 2, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27582907048190934e86260404aa1a completed June 9, 2026, 12:02 a.m.
NEDg Description generation batch_6a275a7d33848190ba11aeb45c7e8b83 completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b11987081908ec648ce1eeceed3 completed June 9, 2026, 12:15 a.m.
Created at: April 29, 2026, 7:11 p.m.