Triple
T20796846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M train |
E511932
|
entity |
| Predicate | boroughConnection |
P141571
|
FINISHED |
| Object | connects Queens and Manhattan |
—
|
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: connects Queens and Manhattan | Statement: [M train, boroughConnection, connects Queens and Manhattan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boroughConnection Context triple: [M train, boroughConnection, connects Queens and Manhattan]
-
A.
boroughBoard
Indicates a governance relationship where a borough-level board oversees, coordinates, or makes decisions affecting entities within that borough.
-
B.
isOnPiccadillyLineBranch
Indicates that something (typically a station or track segment) lies on a branch of the Piccadilly Line rather than on its main central section.
-
C.
ropewayConnects
Indicates that a ropeway (such as a cable car or gondola system) provides a direct transportation connection between two locations.
-
D.
servedByOvergroundLine
Indicates that a location or facility is connected to and receives service from an Overground railway line.
-
E.
boroughStreet
Indicates a relationship where a specific street is located within or belongs to a particular borough.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ad6f0481909e0bab7119f10f9c |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:39 p.m.