Triple
T20786322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontorson |
E511646
|
entity |
| Predicate | primaryFunctionForVisitors |
P2976
|
FINISHED |
| Object | base for visiting Mont-Saint-Michel |
—
|
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: base for visiting Mont-Saint-Michel | Statement: [Pontorson, primaryFunctionForVisitors, base for visiting Mont-Saint-Michel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFunctionForVisitors Context triple: [Pontorson, primaryFunctionForVisitors, base for visiting Mont-Saint-Michel]
-
A.
primaryVisitors
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
B.
primaryRoleInPark
Indicates the main function or responsibility an entity has within a particular park.
-
C.
visitorCenter
chosen
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
-
D.
consequenceForVisitors
Indicates a resulting effect, outcome, or implication that an action, rule, or condition has specifically for visitors.
-
E.
visitorService
Indicates a relationship where a service is provided specifically for or to visitors, such as assistance, information, or support during their visit.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28c0d0c8190aa48e6fdfdaab750 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:38 p.m.