Triple
T14601340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catacombs of Paris |
E342710
|
entity |
| Predicate | legalStatusOfUnauthorizedAreas |
P114997
|
FINISHED |
| Object | off-limits to the public |
—
|
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: off-limits to the public | Statement: [Catacombs of Paris, legalStatusOfUnauthorizedAreas, off-limits to the public]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfUnauthorizedAreas Context triple: [Catacombs of Paris, legalStatusOfUnauthorizedAreas, off-limits to the public]
-
A.
regulatedArea
Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
-
B.
isProtectedAreaStatus
Indicates that an entity has a designated protection status, typically signifying legal or formal recognition as a protected area.
-
C.
hasProtectedAreasNearby
Indicates that an entity is located close to one or more designated protected or conservation areas.
-
D.
hasProtectedAreaAuthority
Indicates that an entity holds official authority or responsibility for managing or overseeing a protected area.
-
E.
hasProtectedAreaStatus
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
- 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.