Triple
T6645321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiers arrondissement |
E150684
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sauviat
Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
|
E610487
|
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: Sauviat | Statement: [Thiers arrondissement, contains, Sauviat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sauviat Context triple: [Thiers arrondissement, contains, Sauviat]
-
A.
Talifuguen
Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
-
B.
The Rescues
The Rescues is an American indie-pop/folk band known for its rich vocal harmonies and collaborative singer-songwriter lineup.
-
C.
The Van
"The Van" is a 1996 Irish comedy-drama film, based on Roddy Doyle’s novel, about two friends who start a fish-and-chip van business in Dublin after one of them loses his job.
-
D.
Vinderen
Vinderen is a residential neighborhood in Oslo, Norway, known for its affluent character, green surroundings, and convenient access to the city center.
-
E.
La Pila
La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
- 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: Sauviat Triple: [Thiers arrondissement, contains, Sauviat]
Generated description
Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sauviat Target entity description: Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
-
A.
Talifuguen
Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
-
B.
The Rescues
The Rescues is an American indie-pop/folk band known for its rich vocal harmonies and collaborative singer-songwriter lineup.
-
C.
The Van
"The Van" is a 1996 Irish comedy-drama film, based on Roddy Doyle’s novel, about two friends who start a fish-and-chip van business in Dublin after one of them loses his job.
-
D.
Vinderen
Vinderen is a residential neighborhood in Oslo, Norway, known for its affluent character, green surroundings, and convenient access to the city center.
-
E.
La Pila
La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01bb290819089c4ff2bd2b5e09b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef48b488190ac08dc37d4a5d514 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f127d9188190849959aaae10f769 |
completed | March 27, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f5318764819092eca02a5f300e2a |
completed | March 27, 2026, 9:22 p.m. |
Created at: March 27, 2026, 2 p.m.