Triple
T21087373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Nérac |
E519534
|
entity |
| Predicate | regionCapitalNearest |
P41518
|
FINISHED |
| Object | Agen |
—
|
NE NERFINISHED |
How this triple was built (3 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: Agen | Statement: [Château de Nérac, regionCapitalNearest, Agen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agen Context triple: [Château de Nérac, regionCapitalNearest, Agen]
-
A.
Agen
chosen
Agen is a historic town in southwestern France known for its prunes and location between Bordeaux and Toulouse.
-
B.
Agen canton
Agen canton is an administrative division in the Lot-et-Garonne department of southwestern France, centered around the city of Agen.
-
C.
Argeo
Argeo is the given first name of Paul Cellucci, an American politician and former Governor of Massachusetts.
-
D.
Agaja
Agaja was an 18th-century king of the Kingdom of Dahomey in West Africa, known for expanding the kingdom’s power and centralizing its political and military structures.
-
E.
Ageo
Ageo is a city in Japan known as a residential and industrial hub within the Greater Tokyo metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionCapitalNearest Context triple: [Château de Nérac, regionCapitalNearest, Agen]
-
A.
countryCapitalNearby
Indicates that a country’s capital city is geographically close to a specified location or entity.
-
B.
regionCapitalNearby
chosen
Indicates that a capital city of a region is located close to the referenced place or entity.
-
C.
countyCapitalNearby
Indicates that a county’s capital city is located close to a specified place or entity.
-
D.
nearestCapitalCity
Indicates that one city is the geographically closest capital city to a given location or entity compared to all other capital cities.
-
E.
capitalOfProvinceNearby
Indicates that a city serves as the capital of a province that is geographically close to a specified reference location or area.
- F. None of above.
Provenance (3 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094be9388190b004fda23f301397 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:50 p.m.