Triple
T27376301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piaseczno County |
E691081
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object |
Powiat piaseczyński
Powiat piaseczyński is an administrative county in east-central Poland, located in the Masovian Voivodeship just south of Warsaw, with its seat in the town of Piaseczno.
|
E1770227
|
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: Powiat piaseczyński | Statement: [Piaseczno County, hasOfficialName, Powiat piaseczyński]
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: Powiat piaseczyński Triple: [Piaseczno County, hasOfficialName, Powiat piaseczyński]
Generated description
Powiat piaseczyński is an administrative county in east-central Poland, located in the Masovian Voivodeship just south of Warsaw, with its seat in the town of Piaseczno.
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_69ef52022538819081f873d0c84a6dd6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62c65a1fc8190844cacf5c447adcf |
completed | May 2, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12a7e7de5c819089111fc4d4934798 |
completed | May 24, 2026, 7:25 a.m. |
| NEDg | Description generation | batch_6a12a87492b48190be0461fafe4d081d |
completed | May 24, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12a926a67c819083713f0245b3e299 |
completed | May 24, 2026, 7:30 a.m. |
Created at: April 27, 2026, 12:20 p.m.