Triple
T26794609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louvre Hotels Group |
E670610
|
entity |
| Predicate | continentPresence |
P125710
|
FINISHED |
| Object | Europe |
—
|
NE NERFINISHED |
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: Europe | Statement: [Louvre Hotels Group, continentPresence, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentPresence Context triple: [Louvre Hotels Group, continentPresence, Europe]
-
A.
continentDistribution
chosen
Indicates how something is geographically distributed or spread across different continents.
-
B.
continentIncludes
Indicates that a particular continent geographically contains or encompasses a specified region, country, or area.
-
C.
continentInvolved
Indicates that a particular continent participates in, is affected by, or plays a role in a specified event, process, or relationship.
-
D.
continentStatus
Indicates the status or condition assigned to a continent, such as its current state, classification, or role within a given context.
-
E.
continentFound
Indicates that a specified continent is the location where a particular entity is found or occurs.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 4:18 a.m.