Triple

T32209406
Position Surface form Disambiguated ID Type / Status
Subject Anatolian Neolithic E822758 entity
Predicate hasSite P1205 FINISHED
Object Körtik Tepe
Körtik Tepe is an early Neolithic archaeological site in southeastern Turkey notable for its well-preserved architecture, rich burials, and evidence of some of the earliest sedentary communities in Anatolia.
E2001073 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: Körtik Tepe | Statement: [Anatolian Neolithic, hasSite, Körtik Tepe]
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: Körtik Tepe
Triple: [Anatolian Neolithic, hasSite, Körtik Tepe]
Generated description
Körtik Tepe is an early Neolithic archaeological site in southeastern Turkey notable for its well-preserved architecture, rich burials, and evidence of some of the earliest sedentary communities in Anatolia.

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_69f3490a3bec819097bc58d4731b9d08 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb90bb908190a7b01f36dc123cf1 completed May 3, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3056f1b8e481908a0d0248c734baf4 completed June 15, 2026, 7:48 p.m.
NEDg Description generation batch_6a30577fbaa88190ba55c619ab7c180b completed June 15, 2026, 7:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3057fbec6081908738d3aa89e2ef68 completed June 15, 2026, 7:52 p.m.
Created at: May 1, 2026, 12:37 a.m.