Triple
T36612762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hagenberg |
E903511
|
entity |
| Predicate | hasSoftwareparkWebsite |
P194966
|
FINISHED |
| Object | https://www.softwarepark-hagenberg.com/ |
—
|
LITERAL 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: https://www.softwarepark-hagenberg.com/ | Statement: [Hagenberg, hasSoftwareparkWebsite, https://www.softwarepark-hagenberg.com/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoftwareparkWebsite Context triple: [Hagenberg, hasSoftwareparkWebsite, https://www.softwarepark-hagenberg.com/]
-
A.
hasTourismWebsite
Indicates that an entity has an associated official website specifically dedicated to providing tourism-related information about it.
-
B.
hasOfficialWebsiteThrough
Indicates that an entity has an official website that is accessed, provided, or mediated via a specified intermediary, platform, or channel.
-
C.
hasBusinessPark
Indicates that one entity possesses, contains, or is associated with a business park as part of its facilities or properties.
-
D.
hasCampaignWebsite
Indicates that an entity (typically a political candidate or campaign) is associated with a specific official campaign website.
-
E.
hasFestivalWebsite
Indicates that a festival is associated with a specific official website.
- F. None of above. chosen
Provenance (4 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
| PDg | Predicate description generation | batch_69fd91a44268819081b372296e3aa116 |
completed | May 8, 2026, 7:32 a.m. |
Created at: May 3, 2026, 4:11 p.m.