Triple
T4205339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelvinbridge subway station |
E86169
|
entity |
| Predicate | isOnInnerCircle |
P53962
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kelvinbridge subway station, isOnInnerCircle, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnInnerCircle Context triple: [Kelvinbridge subway station, isOnInnerCircle, yes]
-
A.
isOnCircularRoute
Indicates that an entity follows or belongs to a route that forms a closed loop, starting and ending at the same point.
-
B.
isOneOfMainConesOf
Indicates that an entity is among the primary or most important cones associated with another entity.
-
C.
isCentralTo
Indicates that something plays a primary, essential, or defining role in relation to something else, such that the latter depends on or is organized around it.
-
D.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by another entity.
-
E.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0382eafc8190946bf45bf28095dd |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af0196716c81908b99193690630a29 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af021828208190beb6d1af367b5a65 |
completed | March 9, 2026, 5:23 p.m. |
Created at: March 9, 2026, 3:49 p.m.