Triple
T17600322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Saint-Affrique |
E428680
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gissac
Gissac is a small rural commune in the Aveyron department of southern France, known for its scenic countryside and traditional agricultural character.
|
E1278275
|
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: Gissac | Statement: [canton of Saint-Affrique, contains, Gissac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gissac Context triple: [canton of Saint-Affrique, contains, Gissac]
-
A.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
B.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
C.
Labine
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
-
D.
Morieux
Morieux is a coastal commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its scenic shoreline along the English Channel.
-
E.
Rive-de-Gier
Rive-de-Gier is a commune in central France’s Loire department, historically known for its coal mining and glassmaking industries.
- 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: Gissac Triple: [canton of Saint-Affrique, contains, Gissac]
Generated description
Gissac is a small rural commune in the Aveyron department of southern France, known for its scenic countryside and traditional agricultural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gissac Target entity description: Gissac is a small rural commune in the Aveyron department of southern France, known for its scenic countryside and traditional agricultural character.
-
A.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
B.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
C.
Labine
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
-
D.
Morieux
Morieux is a coastal commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its scenic shoreline along the English Channel.
-
E.
Rive-de-Gier
Rive-de-Gier is a commune in central France’s Loire department, historically known for its coal mining and glassmaking industries.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4812d48190bf8e899fa8f7fbe4 |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e81b951c81908969e6d2f952efc4 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01ef0a9fb48190ac9d38f027ceb728 |
completed | May 11, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ef87c62c8190b9a3cd936542d7b4 |
completed | May 11, 2026, 3:02 p.m. |
Created at: April 10, 2026, 5:51 a.m.