Triple
T6431322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbizon cemetery |
E129784
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Barbizon |
E540867
|
NE 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: Barbizon | Statement: [Barbizon cemetery, locatedIn, Barbizon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbizon Context triple: [Barbizon cemetery, locatedIn, Barbizon]
-
A.
Buren
Buren is the entomologist who formally described the invasive red imported fire ant species Solenopsis invicta.
-
B.
Buren
Buren is a historic Dutch town in the province of Gelderland, known for its ties to the Dutch royal family and its well-preserved medieval character.
-
C.
Bateau-Lavoir
Bateau-Lavoir was a famous early-20th-century artists’ residence and studio complex in Paris’s Montmartre district, known as a hub for avant-garde painters, writers, and bohemians.
-
D.
Barbizon region
chosen
The Barbizon region is a rural area in north-central France historically associated with the Barbizon School of painters, who were known for their naturalistic landscape art.
-
E.
Montesson
Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693cadf08190aca84888a3440b3d |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e9ae8481909229bcf6d5e793d3 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:44 p.m.