Triple
T9875314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Watigny |
E240057
|
entity |
| Predicate | regionTypeWhereHighest |
P1828
|
FINISHED |
| Object | French administrative region |
—
|
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: French administrative region | Statement: [Mont Watigny, regionTypeWhereHighest, French administrative region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionTypeWhereHighest Context triple: [Mont Watigny, regionTypeWhereHighest, French administrative region]
-
A.
populationRegionType
Indicates the type or category of region (e.g., city, state, country) to which a given population value or statistic applies.
-
B.
regionType
chosen
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
C.
isMostDenselyPopulatedRegionIn
Indicates that a region has the highest population density compared to all other regions within a specified larger area or context.
-
D.
regionTypeWest
Indicates that one region is of a specified type and is located to the west of another region.
-
E.
regionTypeEast
Indicates that one region is classified as being of a certain type specifically in the eastern part of a larger area or reference frame.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3f9d82c81908afb4977ce4e3e4a |
completed | April 2, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:37 p.m.