Triple
T35609277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lurtigen |
E1028986
|
entity |
| Predicate | statisticalRegionCode |
P31833
|
FINISHED |
| Object | CH0226 |
—
|
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: CH0226 | Statement: [Lurtigen, statisticalRegionCode, CH0226]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statisticalRegionCode Context triple: [Lurtigen, statisticalRegionCode, CH0226]
-
A.
statisticalAreaClassification
Indicates how an area is categorized based on statistical criteria, such as population, density, or other quantitative measures, for analysis or reporting purposes.
-
B.
censusRegion
Indicates the broader census-defined geographic region in which an entity (such as a place or population unit) is located or classified.
-
C.
subregionCodeFor
chosen
Indicates that one entity is the code assigned to identify a specific subregion of the other entity.
-
D.
statisticalAreaOf
Indicates that one entity is the designated statistical area or region associated with, containing, or characterizing another entity for statistical or demographic purposes.
-
E.
specialStatuteRegion
Indicates that a region is governed by or subject to a specific special statute or legal provision distinct from general law.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec8d27c819095c268681ecfe873 |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.