Triple
T25133284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathédrale Saint-Lazare d’Autun |
E629585
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Autun Roman remains
The Autun Roman remains are a collection of ancient Roman archaeological sites and structures in and around Autun, France, including city walls, gates, a theater, and other vestiges of the Gallo-Roman city of Augustodunum.
|
E1668526
|
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: Autun Roman remains | Statement: [Cathédrale Saint-Lazare d’Autun, near, Autun Roman remains]
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: Autun Roman remains Triple: [Cathédrale Saint-Lazare d’Autun, near, Autun Roman remains]
Generated description
The Autun Roman remains are a collection of ancient Roman archaeological sites and structures in and around Autun, France, including city walls, gates, a theater, and other vestiges of the Gallo-Roman city of Augustodunum.
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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465fb5eb88190bb30b07f57fe4e8d |
completed | May 1, 2026, 8:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105cfe6d9481908731068356ab5ba8 |
completed | May 22, 2026, 1:41 p.m. |
| NEDg | Description generation | batch_6a105e161df88190ba6a36e7581cd4ae |
completed | May 22, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a105fa381408190b9343fb060d29374 |
completed | May 22, 2026, 1:52 p.m. |
Created at: April 18, 2026, 6:28 a.m.