Triple
T14601310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catacombs of Paris |
E342710
|
entity |
| Predicate | establishedAsOssuaryYear |
P114995
|
FINISHED |
| Object | 1780s |
—
|
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: 1780s | Statement: [Catacombs of Paris, establishedAsOssuaryYear, 1780s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsOssuaryYear Context triple: [Catacombs of Paris, establishedAsOssuaryYear, 1780s]
-
A.
ossuaryLocation
Indicates the place where an ossuary (a container or site for storing human skeletal remains) is situated or kept.
-
B.
sarcophagusCompletionDate
Indicates the date on which the construction or finishing of a sarcophagus was completed.
-
C.
eraOfMostBurials
Indicates the historical time period during which the greatest number of burials occurred for a given site or context.
-
D.
excavationYear
Indicates the year in which an excavation activity took place or was conducted.
-
E.
firstExcavationYear
Indicates the calendar year in which an excavation activity at a given site or object was first carried out.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:25 a.m.