Triple
T1030542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Kent School |
E22239
|
entity |
| Predicate | boarding |
P24195
|
FINISHED |
| Object | 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: full boarding | Statement: [South Kent School, boarding, full boarding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boarding Context triple: [South Kent School, boarding, full boarding]
-
A.
boardingProcess
Indicates the process or sequence of actions by which passengers move from a waiting area onto a vehicle (such as an airplane, train, or bus).
-
B.
boardingGroups
Indicates that certain entities are assigned to or associated with specific boarding groups for an ordered boarding process.
-
C.
inscriptionBy
Indicates that an inscription was created, written, or carved by a particular agent or entity.
-
D.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
-
E.
attendedBy
Indicates that an event, place, or activity is participated in or visited by a particular person or group.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b95bb5908190ad1d5f5e0d8f664d |
completed | March 1, 2026, 10:10 p.m. |
Created at: March 1, 2026, 7:41 p.m.