Triple
T35036862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Ballivián Province |
E1010942
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Santa Rosa Municipality
Santa Rosa Municipality is an administrative subdivision in Bolivia that serves as one of the local government units within José Ballivián Province in the Beni Department.
|
E2122995
|
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: Santa Rosa Municipality | Statement: [José Ballivián Province, hasMunicipality, Santa Rosa Municipality]
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: Santa Rosa Municipality Triple: [José Ballivián Province, hasMunicipality, Santa Rosa Municipality]
Generated description
Santa Rosa Municipality is an administrative subdivision in Bolivia that serves as one of the local government units within José Ballivián Province in the Beni Department.
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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858cb6608190a0c2fa79c2d215a6 |
completed | May 3, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37bd2d08ec8190a70b4e3e4af75fd3 |
completed | June 21, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_6a37be0aaefc81909c335f1bfb98f9bc |
completed | June 21, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37be76c740819082de7596c5ec3299 |
completed | June 21, 2026, 10:35 a.m. |
Created at: May 3, 2026, 4:01 p.m.