Triple
T32775834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Neuchâtel |
E838199
|
entity |
| Predicate | elevationDateApprox |
P182275
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [County of Neuchâtel, elevationDateApprox, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationDateApprox Context triple: [County of Neuchâtel, elevationDateApprox, 17th century]
-
A.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
B.
elevationCoverageApproximate
Indicates an approximate or estimated representation of how elevation values are covered or distributed over a given area or dataset.
-
C.
elevationFeetApproximate
Indicates the approximate elevation of an entity above sea level, measured in feet.
-
D.
elevationDeterminedIn
Indicates that the elevation of an entity is established or measured within a specific context, process, or event.
-
E.
hasApproxElevationFeet
Indicates that an entity is associated with an elevation value measured in feet that is approximate rather than exact.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: May 1, 2026, 1:13 a.m.