Triple
T10663801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brive arrondissement |
E251295
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Juillac
Juillac is a rural commune in central France’s Corrèze department, known for its traditional Limousin countryside and agricultural character.
|
E881459
|
NE FINISHED |
How this triple was built (4 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: Juillac | Statement: [Brive arrondissement, contains, Juillac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juillac Context triple: [Brive arrondissement, contains, Juillac]
-
A.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
B.
Aurillac
Aurillac is a historic town in south-central France, known as the capital of the Cantal department and for its traditional umbrella-making industry.
-
C.
Chamblon
Chamblon is a small municipality in the canton of Vaud in western Switzerland.
-
D.
Chamalières
Chamalières is a commune in central France, near Clermont-Ferrand, known historically as a spa town and for its residential character.
-
E.
Tournan
Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Juillac Triple: [Brive arrondissement, contains, Juillac]
Generated description
Juillac is a rural commune in central France’s Corrèze department, known for its traditional Limousin countryside and agricultural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juillac Target entity description: Juillac is a rural commune in central France’s Corrèze department, known for its traditional Limousin countryside and agricultural character.
-
A.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
B.
Aurillac
Aurillac is a historic town in south-central France, known as the capital of the Cantal department and for its traditional umbrella-making industry.
-
C.
Chamblon
Chamblon is a small municipality in the canton of Vaud in western Switzerland.
-
D.
Chamalières
Chamalières is a commune in central France, near Clermont-Ferrand, known historically as a spa town and for its residential character.
-
E.
Tournan
Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
- F. None of above. chosen
Provenance (5 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31db6288190857533213fa9f20d |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacf1a43c8190869f4a64f9d6a26c |
completed | April 12, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 8, 2026, 9:08 p.m.