Triple
T29153140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorbach |
E738963
|
entity |
| Predicate | hasOfficialWebsiteThrough |
P173394
|
FINISHED |
| Object | municipality of Mechernich |
—
|
NE NERFINISHED |
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: municipality of Mechernich | Statement: [Lorbach, hasOfficialWebsiteThrough, municipality of Mechernich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialWebsiteThrough Context triple: [Lorbach, hasOfficialWebsiteThrough, municipality of Mechernich]
-
A.
hasArtistOfficialWebsite
Indicates that an artist is associated with a specific official website that represents them.
-
B.
hasPublisherWebsite
Indicates that an entity is associated with the official website of its publisher.
-
C.
hasBrandWebsite
Indicates that an entity has an associated official website representing its brand.
-
D.
hasOfficial
Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
-
E.
hasCampaignWebsite
Indicates that an entity (typically a political candidate or campaign) is associated with a specific official campaign 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 28, 2026, 11:43 a.m.