Triple
T22565098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D33 |
E557925
|
entity |
| Predicate | isPartOfHunebedDistributionArea |
P148754
|
FINISHED |
| Object | Drenthe hunebedden |
—
|
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: Drenthe hunebedden | Statement: [D33, isPartOfHunebedDistributionArea, Drenthe hunebedden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfHunebedDistributionArea Context triple: [D33, isPartOfHunebedDistributionArea, Drenthe hunebedden]
-
A.
isInPolderRegion
Indicates that one entity is located within a polder region, i.e., land reclaimed from a body of water and typically protected by dikes.
-
B.
includesBelgianRegion
Indicates that one entity geographically or administratively contains or encompasses a region located in Belgium.
-
C.
hasArchaeologicalSitesFrom
Indicates that an entity contains or is associated with archaeological sites dating from a specified time period or era.
-
D.
HeutigesLand
Indicates that an entity is the country in which another entity is located or to which it currently belongs today.
-
E.
hasArchaeologicalSiteIn
Indicates that an entity possesses, contains, or is associated with an archaeological site located within a specified place or region.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa8d8388190856198547d56dce6 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:52 p.m.