Triple
T3953968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Var |
E84932
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bandol
Bandol is a renowned coastal town and wine appellation in southeastern France, famous for its robust Mourvèdre-based rosé and red wines.
|
E401920
|
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: Bandol | Statement: [Var, contains, Bandol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandol Context triple: [Var, contains, Bandol]
-
A.
Bayona
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
-
B.
Bordeira
Bordeira is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rugged Atlantic coastline and scenic beaches.
-
C.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
D.
Ancud
Ancud is a coastal city on northern Chiloé Island in southern Chile, known historically as a Spanish stronghold and for its maritime heritage and nearby natural landscapes.
-
E.
Bombarral
Bombarral is a small Portuguese town in the Oeste subregion known for its wine production and agricultural landscape.
- 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: Bandol Triple: [Var, contains, Bandol]
Generated description
Bandol is a renowned coastal town and wine appellation in southeastern France, famous for its robust Mourvèdre-based rosé and red wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bandol Target entity description: Bandol is a renowned coastal town and wine appellation in southeastern France, famous for its robust Mourvèdre-based rosé and red wines.
-
A.
Bayona
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
-
B.
Bordeira
Bordeira is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rugged Atlantic coastline and scenic beaches.
-
C.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
D.
Ancud
Ancud is a coastal city on northern Chiloé Island in southern Chile, known historically as a Spanish stronghold and for its maritime heritage and nearby natural landscapes.
-
E.
Bombarral
Bombarral is a small Portuguese town in the Oeste subregion known for its wine production and agricultural landscape.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef93b8f5c8190bdb062a76b68b3e0 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533ab58c08190ad83bf02571caaf2 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5345b408c8190a68c530edd1efb1f |
completed | March 14, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5351fe4d081909c606f2ced0efbdc |
completed | March 14, 2026, 10:14 a.m. |
Created at: March 9, 2026, 3:30 p.m.