Triple
T6866070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platform 9¾ |
E158402
|
entity |
| Predicate | departureFrequency |
P55256
|
FINISHED |
| Object | once per school term |
—
|
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: once per school term | Statement: [Platform 9¾, departureFrequency, once per school term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departureFrequency Context triple: [Platform 9¾, departureFrequency, once per school term]
-
A.
transitFrequencyApprox
Indicates an approximate rate or regularity with which a transit event or service occurs between entities.
-
B.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
C.
departureTime
Indicates the specific time at which an entity leaves or begins its departure from a location or state.
-
D.
serviceFrequencyType
chosen
Indicates how often a service occurs or is scheduled within a given time period.
-
E.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.