Triple
T6112885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queens (Astoria–Ditmars Boulevard) |
E136287
|
entity |
| Predicate | terminalFunction |
P68221
|
FINISHED |
| Object | turnaround point for N and W 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: turnaround point for N and W trains | Statement: [Queens (Astoria–Ditmars Boulevard), terminalFunction, turnaround point for N and W trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminalFunction Context triple: [Queens (Astoria–Ditmars Boulevard), terminalFunction, turnaround point for N and W trains]
-
A.
terminal
Indicates that one entity is the final or end point in a process, sequence, or structure, beyond which no further continuation occurs.
-
B.
terminal3Use
Indicates that an entity makes use of or operates from terminal 3 (such as a specific terminal in a facility, station, or airport).
-
C.
TerminalEUsedFor
Indicates that a terminal E is used for a particular purpose, function, or activity.
-
D.
terminalName
Indicates the name or label assigned to a specific terminal or endpoint within a system or network.
-
E.
terminal4Operator
Indicates that an entity operates or manages the facilities, services, or activities associated with Terminal 4 of a larger transportation hub.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbde2048190909aa3a8097bcf93 |
completed | March 22, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:14 p.m.