Triple
T5074741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isère |
E114365
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Fontaine |
E283729
|
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: Fontaine | Statement: [Isère, containsTown, Fontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fontaine Context triple: [Isère, containsTown, Fontaine]
-
A.
Fontaine
Fontaine is the stoic drug dealer protagonist in the sci-fi mystery film "They Cloned Tyrone," whose strange experiences uncover a sinister government conspiracy.
-
B.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
C.
Fasquelle
Fasquelle is a French publishing house known for issuing notable literary and scholarly works.
-
D.
Fontaine (Isère)
chosen
Fontaine (Isère) is a suburban commune in southeastern France, located near Grenoble in the Isère department within the Auvergne-Rhône-Alpes region.
-
E.
Château d’Eau
Château d’Eau is a Paris Métro station in the 10th arrondissement, located near Gare de l’Est and serving the bustling Boulevard de Strasbourg area.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d0be1c819081b26235fe602a30 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb11b3f3c819089f09178f17940c5 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.