Triple
T29984908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augustin Betancourt |
E761702
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Saint Petersburg Institute of Corps of Engineers of Ways of Communication
The Saint Petersburg Institute of Corps of Engineers of Ways of Communication was an early 19th-century Russian imperial technical institution specializing in training engineers for transportation and communication infrastructure, particularly railways, roads, and waterways.
|
E1893525
|
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: Saint Petersburg Institute of Corps of Engineers of Ways of Communication | Statement: [Augustin Betancourt, employer, Saint Petersburg Institute of Corps of Engineers of Ways of Communication]
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: Saint Petersburg Institute of Corps of Engineers of Ways of Communication Triple: [Augustin Betancourt, employer, Saint Petersburg Institute of Corps of Engineers of Ways of Communication]
Generated description
The Saint Petersburg Institute of Corps of Engineers of Ways of Communication was an early 19th-century Russian imperial technical institution specializing in training engineers for transportation and communication infrastructure, particularly railways, roads, and waterways.
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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f678dc12c481909e88cb5cf37d5d29 |
completed | May 2, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2721ffa5a881909060db2c72f38da9 |
completed | June 8, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_6a2722966b2881909134a0135c1db6ee |
completed | June 8, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a272344de1c819093cc8b8387452668 |
completed | June 8, 2026, 8:17 p.m. |
Created at: April 29, 2026, 6:36 p.m.