Triple
T35710211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morsains, Marne, France |
E1031833
|
entity |
| Predicate | regionalCapitalOfRegion |
P3877
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Morsains, Marne, France, regionalCapitalOfRegion, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalCapitalOfRegion Context triple: [Morsains, Marne, France, regionalCapitalOfRegion, none]
-
A.
countryCapitalOfRegion
Indicates that a country serves as the capital or primary governing state for a specified region.
-
B.
capitalCityOfRegion
chosen
Indicates that a city serves as the official capital of a specified region, functioning as its primary administrative or governmental center.
-
C.
capitalOfReferencedRegion
Indicates that one entity serves as the capital city or administrative center of the region referenced by another entity.
-
D.
countryCapitalRegionFor
Indicates that a specified region serves as the capital area or administrative capital region for a given country.
-
E.
countryCapitalOfWiderRegion
Indicates that a country serves as the capital or primary seat of governance for a broader geographic or political region.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffe12ee59c8190bc7da386e6d5332d |
completed | May 10, 2026, 1:36 a.m. |
| PD | Predicate disambiguation | batch_69ffe0a138bc8190a3d4b48cd579e985 |
completed | May 10, 2026, 1:34 a.m. |
Created at: May 3, 2026, 4:05 p.m.