Triple
T4539604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benenden School |
E107493
|
entity |
| Predicate | boardingPolicy |
P57572
|
FINISHED |
| Object | primarily full boarding |
—
|
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: primarily full boarding | Statement: [Benenden School, boardingPolicy, primarily full boarding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardingPolicy Context triple: [Benenden School, boardingPolicy, primarily full boarding]
-
A.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
-
B.
admissionPolicy
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
-
C.
venuePolicy
Indicates the rules or guidelines that govern how activities or events may be conducted at a particular venue.
-
D.
ordinationPolicy
Indicates the rules or criteria governing how entities are ordered, ranked, or arranged relative to one another.
-
E.
locationPolicy
Indicates a rule or constraint governing where an entity is allowed, required, or restricted to be located.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57ba327c8190a7f12e14077b1fa7 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:04 p.m.