Triple
T23799579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Netherlands |
E588631
|
entity |
| Predicate | historicalSubregion |
P915
|
FINISHED |
| Object | Walloon Flanders |
—
|
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: Walloon Flanders | Statement: [French Netherlands, historicalSubregion, Walloon Flanders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalSubregion Context triple: [French Netherlands, historicalSubregion, Walloon Flanders]
-
A.
historicalRegion
chosen
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
B.
historicalCoreRegion
Indicates that a region served as the central or foundational area of a group, state, or civilization during a significant historical period.
-
C.
historicalAdministrativeRegionName
Indicates the name assigned to an administrative region as it existed during a specific historical period.
-
D.
historicalFocusRegion
Indicates that an entity’s primary historical attention, study, or activity is centered on a particular geographic region.
-
E.
historicalStatusOfRegion
Indicates the historical political or administrative status that a region held during a specific past period.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6dfaae081908be48fa89e625f71 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:52 p.m.