Triple
T31296611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | monument to Paul Cézanne in Aix-en-Provence |
E798093
|
entity |
| Predicate | nativeCityOfHonouredPerson |
P77337
|
FINISHED |
| Object | Aix-en-Provence |
—
|
NE NERFINISHED |
How this triple was built (2 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: Aix-en-Provence | Statement: [monument to Paul Cézanne in Aix-en-Provence, nativeCityOfHonouredPerson, Aix-en-Provence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeCityOfHonouredPerson Context triple: [monument to Paul Cézanne in Aix-en-Provence, nativeCityOfHonouredPerson, Aix-en-Provence]
-
A.
hometownOfHonoree
Indicates that a specified place is the hometown (place of origin or long-term residence) of the honoree.
-
B.
homeCityIsSeatOf
Indicates that the person’s home city serves as the administrative or governmental seat (e.g., capital) of a larger region such as a state, province, or country.
-
C.
capitalCityOfOriginCountry
Indicates that a city is the capital of the country from which an entity (such as a person, organization, or product) originates.
-
D.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
-
E.
nativeCity
chosen
Indicates that a city is the place where a person was born or is originally from.
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:14 p.m.