Triple
T30376727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaugirard Cemetery, Paris |
E772710
|
entity |
| Predicate | hasNotableBurialNationality |
P53655
|
FINISHED |
| Object | French |
—
|
LITERAL FINISHED |
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: French | Statement: [Vaugirard Cemetery, Paris, hasNotableBurialNationality, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBurialNationality Context triple: [Vaugirard Cemetery, Paris, hasNotableBurialNationality, French]
-
A.
buriedPersonNationality
Indicates the nationality of the person who is buried.
-
B.
primaryNationalityOfBurials
chosen
Indicates the main national affiliation shared by the individuals interred at a particular burial site.
-
C.
countryOfBurial
Indicates the country in which a person or entity is buried.
-
D.
hasNotableBurials
Indicates that a place, typically a cemetery or burial site, contains the graves or remains of individuals considered notable or significant.
-
E.
nationalityAtDeath
Indicates the country or national affiliation a person held at the time of their death.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0039c2d5d48190b8ef2c7ef17d8dc5 |
completed | May 10, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_6a0038e525448190a4c815f51595e78d |
completed | May 10, 2026, 7:51 a.m. |
Created at: April 29, 2026, 8 p.m.