Triple
T16172873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement de Condom |
E392483
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Castéra-Verduzan
Castéra-Verduzan is a commune in the Gers department of southwestern France, known for its spa facilities and rural Gascon setting.
|
E1198949
|
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: Castéra-Verduzan | Statement: [arrondissement de Condom, contains, Castéra-Verduzan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castéra-Verduzan Context triple: [arrondissement de Condom, contains, Castéra-Verduzan]
-
A.
Clavaleyres
Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
-
B.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
C.
Buzet
Buzet is a French wine appellation in the Lot-et-Garonne department known for its red, white, and rosé wines primarily based on Bordeaux grape varieties.
-
D.
Buzet
Buzet is a small historic town in northern Istria, Croatia, renowned for its truffle-rich surrounding forests and medieval hilltop setting.
-
E.
Bibertal
Bibertal is a municipality in the Bavarian region of Swabia in southern Germany.
- 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: Castéra-Verduzan Triple: [arrondissement de Condom, contains, Castéra-Verduzan]
Generated description
Castéra-Verduzan is a commune in the Gers department of southwestern France, known for its spa facilities and rural Gascon setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Castéra-Verduzan Target entity description: Castéra-Verduzan is a commune in the Gers department of southwestern France, known for its spa facilities and rural Gascon setting.
-
A.
Clavaleyres
Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
-
B.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
C.
Buzet
Buzet is a French wine appellation in the Lot-et-Garonne department known for its red, white, and rosé wines primarily based on Bordeaux grape varieties.
-
D.
Buzet
Buzet is a small historic town in northern Istria, Croatia, renowned for its truffle-rich surrounding forests and medieval hilltop setting.
-
E.
Bibertal
Bibertal is a municipality in the Bavarian region of Swabia in southern Germany.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb88c948190a1d8b5518694ad53 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffefc3e088190975ecbdaeba7ee84 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a000086586c8190b5d93740f5b452a0 |
completed | May 10, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0000e385bc819080e63ced564fe77b |
completed | May 10, 2026, 3:52 a.m. |
Created at: April 10, 2026, 5:02 a.m.