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.