Triple
T31642934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Glen station |
E807505
|
entity |
| Predicate | hasEscalatorsToPlatform |
P1532
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Forest Glen station, hasEscalatorsToPlatform, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEscalatorsToPlatform Context triple: [Forest Glen station, hasEscalatorsToPlatform, no]
-
A.
hasEscalators
chosen
Indicates that one entity is equipped with or contains escalators that can be used for movement between different levels or areas.
-
B.
hasElevators
Indicates that one entity is equipped with or contains one or more elevators for vertical transportation.
-
C.
hasElevatorConnection
Indicates that there is a direct elevator-based connection or access route between two locations or entities.
-
D.
numberOfEscalators
Indicates the quantity of escalators associated with or present in a given entity or location.
-
E.
hasEscalatorDepthRank
Indicates the relative position or level of an escalator within an ordered hierarchy of escalators (e.g., by depth, floor, or sequence).
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a91c1d3c8190b7c11e5a75921aff |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:50 p.m.