Triple
T26239927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petal 6 |
E656282
|
entity |
| Predicate | partOfCampus |
P36352
|
FINISHED |
| Object | Maison de la Paix campus of the Graduate Institute |
—
|
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: Maison de la Paix campus of the Graduate Institute | Statement: [Petal 6, partOfCampus, Maison de la Paix campus of the Graduate Institute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCampus Context triple: [Petal 6, partOfCampus, Maison de la Paix campus of the Graduate Institute]
-
A.
isPartOfCampus
chosen
Indicates that one place, facility, or area is located within and belongs to a larger campus.
-
B.
campusArea
Indicates that one entity is the physical area or spatial extent of a campus associated with another entity.
-
C.
campusFacility
Indicates that one entity is a facility that is located on or belongs to a particular campus.
-
D.
campus1
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
E.
cityCampus
Indicates that a campus is located within or associated with a particular city.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 26, 2026, 9:03 p.m.