Triple
T38134248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Floby |
E952303
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object |
Falköping Municipality
Falköping Municipality is a local government area in Västra Götaland County in western Sweden, centered on the town of Falköping and known for its rural landscapes and ancient cultural heritage.
|
E526668
|
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: Falköping Municipality | Statement: [Floby, municipality, Falköping 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: Falköping Municipality Triple: [Floby, municipality, Falköping Municipality]
Generated description
Falköping Municipality is a local government area in Västra Götaland County in western Sweden, centered on the town of Falköping and known for its rural landscapes and ancient cultural heritage.
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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc45ebd5a48190af99801e4ff329c5 |
completed | May 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a417b25185c8190a86dd963366ef52e |
completed | June 28, 2026, 7:51 p.m. |
| NEDg | Description generation | batch_6a417da236688190abe036abbf1f6245 |
completed | June 28, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a417e1abc2c8190b3b7f93c6a793208 |
completed | June 28, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:21 p.m.