Triple
T22828533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odo of France |
E565729
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | La Fère |
—
|
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: La Fère | Statement: [Odo of France, placeOfDeath, La Fère]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Fère Context triple: [Odo of France, placeOfDeath, La Fère]
-
A.
La Fère
chosen
La Fère is a historic town in northern France, in the Aisne department of the Hauts-de-France region, known for its medieval heritage and former military significance.
-
B.
Les Fauvelles
Les Fauvelles is a tram stop on Île-de-France’s tramway Line 2 serving the western suburbs of Paris.
-
C.
Le Cheval
Le Cheval is a renowned early 20th-century Cubist sculpture by Raymond Duchamp-Villon that depicts a stylized, mechanized horse and is considered a key work of modernist sculpture.
-
D.
La Boeuf
La Boeuf is a determined Texas Ranger who teams up with Rooster Cogburn and Mattie Ross to track down an outlaw in the Western story "True Grit."
-
E.
Le Fauconnier
Le Fauconnier is the surname of Henri Le Fauconnier, a French painter associated with the Cubist movement in the early 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2a0e308190941064965346f890 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.