Triple
T18729237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Hills station |
E457986
|
entity |
| Predicate | openedAsCurrentOrangeLineTerminus |
P133340
|
FINISHED |
| Object | 1987 |
—
|
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: 1987 | Statement: [Forest Hills station, openedAsCurrentOrangeLineTerminus, 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsCurrentOrangeLineTerminus Context triple: [Forest Hills station, openedAsCurrentOrangeLineTerminus, 1987]
-
A.
openedAsRedLineStation
Indicates that a station began operation specifically as part of the Red Line when it first opened.
-
B.
followingStationOnOrangeLine
Indicates that one station is the next station in sequence after another station on the Orange Line.
-
C.
openedAsMetrolinkLine
Indicates that a railway line or route was inaugurated or began operation specifically as part of the Metrolink network.
-
D.
openedAsMetrolinkStop
Indicates that a location began operation specifically as a Metrolink transit stop.
-
E.
precedingStationOnOrangeLine
Indicates that one station is immediately before another station along the Orange Line route.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7660488190b4f70db963d05ef6 |
completed | April 20, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.