Triple
T21756364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | former Long Island Rail Road Rockaway Beach Branch (southern portion) |
E537050
|
entity |
| Predicate | acquiredByCityForSubway |
P145145
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [former Long Island Rail Road Rockaway Beach Branch (southern portion), acquiredByCityForSubway, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquiredByCityForSubway Context triple: [former Long Island Rail Road Rockaway Beach Branch (southern portion), acquiredByCityForSubway, 1950s]
-
A.
hasSubway
Indicates that a place is served by or contains a subway (metro) system.
-
B.
hasSubwayCode
Indicates that an entity is associated with a specific subway system code used to identify it within that transit network.
-
C.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
D.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
E.
hasSubwayComplex
Indicates that one entity contains or is associated with a subway complex as part of its structure or facilities.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8ea04c8190a8c4fa43b3f23935 |
completed | April 28, 2026, 2:38 a.m. |
| PD | Predicate disambiguation | batch_69e6969e46088190b13d6e9025775ea3 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:50 p.m.