Triple
T34804922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Lens |
E1003325
|
entity |
| Predicate | seatIsFormerCoalMiningCity |
P45552
|
FINISHED |
| Object | Lens |
—
|
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: Lens | Statement: [canton of Lens, seatIsFormerCoalMiningCity, Lens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatIsFormerCoalMiningCity Context triple: [canton of Lens, seatIsFormerCoalMiningCity, Lens]
-
A.
locatedInHistoricMiningTown
Indicates that something is situated within a town historically associated with mining activity.
-
B.
locatedInFormerMiningArea
Indicates that an entity is situated within an area that was previously used for mining activities.
-
C.
containsMiningTown
Indicates that a location or area includes within its boundaries a town whose primary activity or identity is based on mining.
-
D.
isInCoalRegion
chosen
Indicates that an entity is located within a geographic region characterized by coal deposits, coal mining, or coal-related activities.
-
E.
wasRoyalMiningTownOf
Indicates that a town historically held official royal status and functioned as a designated center for mining activities under royal authority.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77a8cf978819086a26dbbbd31d9a2 |
completed | May 3, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.