Triple
T27770973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterschei Thor |
E701742
|
entity |
| Predicate | basedInMiningCommunity |
P163433
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Waterschei Thor, basedInMiningCommunity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInMiningCommunity Context triple: [Waterschei Thor, basedInMiningCommunity, true]
-
A.
hasMiningCommunities
Indicates that one entity possesses, contains, or is associated with communities whose primary activity is mining.
-
B.
isFormerMiningCommunity
chosen
Indicates that a place was historically a mining community but no longer functions primarily as one.
-
C.
hasNearbyFormerMiningCommunity
Indicates that an entity is located close to a community that previously hosted mining activities but is no longer an active mining site.
-
D.
locatedInMiningDistrict
Indicates that one entity is situated within the geographic or administrative boundaries of a specified mining district.
-
E.
containsMiningTown
Indicates that a location or area includes within its boundaries a town whose primary activity or identity is based on mining.
- F. None of above.
Provenance (3 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 27, 2026, 4:35 p.m.