Triple
T23014474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandeis-Bardin Campus |
E572993
|
entity |
| Predicate | typeOfRetreats |
P139556
|
FINISHED |
| Object | religious retreats |
—
|
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: religious retreats | Statement: [Brandeis-Bardin Campus, typeOfRetreats, religious retreats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRetreats Context triple: [Brandeis-Bardin Campus, typeOfRetreats, religious retreats]
-
A.
retreatType
Indicates the specific kind or category of retreat associated with an event, action, or entity.
-
B.
partOfRetreatOf
Indicates that one entity participates as a component or segment within the broader retreat or withdrawal of another entity.
-
C.
hasRetreatType
chosen
Indicates the specific category or type of retreat associated with an entity.
-
D.
operatesRetreats
Indicates that an entity manages and runs one or more retreat programs or retreat locations.
-
E.
trekkingPermitType
Indicates the specific category or kind of permit required or used for undertaking a trekking activity.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e3c0e08190a7ac747b056ec3ca |
completed | April 29, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.