Triple
T35240995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | statue of Pierre-Paul Riquet in Toulouse |
E1017513
|
entity |
| Predicate | depictsPersonDateOfBirthCentury |
P193151
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [statue of Pierre-Paul Riquet in Toulouse, depictsPersonDateOfBirthCentury, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPersonDateOfBirthCentury Context triple: [statue of Pierre-Paul Riquet in Toulouse, depictsPersonDateOfBirthCentury, 17th century]
-
A.
depictsPersonDateOfBirth
Indicates that the subject is a depiction (e.g., an image or representation) that shows or is associated with the date of birth of a specific person.
-
B.
depictedPersonDateOfBirth
Indicates that the relationship specifies the date of birth of the person who is depicted.
-
C.
wasBornInCentury
Indicates that an entity’s birth occurred during a specified century.
-
D.
depictsDateOfBirth
Indicates that something visually represents or portrays the date on which a person or entity was born.
-
E.
depictedPersonLifespan
Indicates the time span between birth and death of the person shown in the depiction.
- F. None of above. chosen
Provenance (4 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: May 3, 2026, 4:02 p.m.