Triple
T2222426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kew Gardens–Union Turnpike |
E48170
|
entity |
| Predicate | hasCrossPlatformTransfer |
P32010
|
FINISHED |
| Object | between E and F trains |
—
|
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: between E and F trains | Statement: [Kew Gardens–Union Turnpike, hasCrossPlatformTransfer, between E and F trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossPlatformTransfer Context triple: [Kew Gardens–Union Turnpike, hasCrossPlatformTransfer, between E and F trains]
-
A.
hasCrossPlatformInterchange
chosen
Indicates that there is a transfer point where passengers can switch between different transportation platforms or modes within the same location.
-
B.
hasTransfer
Indicates a relationship where something is moved or conveyed from one entity or location to another.
-
C.
hasCross
Indicates that one entity possesses, displays, or is marked by a cross in relation to another entity or context.
-
D.
supportsPeerToPeerTransactions
Indicates that an entity enables or facilitates direct transactions between peers without requiring an intermediary.
-
E.
transferType
Indicates the specific method or category of how something is transferred from one entity to another.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03bfdd48190bfb96ec3e41c22dc |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.