Triple
T31303121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Line northbound |
E798262
|
entity |
| Predicate | southernTerminusOfDirection |
P5249
|
FINISHED |
| Object | Forest Hills station |
—
|
NE NERFINISHED |
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: Forest Hills station | Statement: [Orange Line northbound, southernTerminusOfDirection, Forest Hills station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: southernTerminusOfDirection Context triple: [Orange Line northbound, southernTerminusOfDirection, Forest Hills station]
-
A.
southernTerminusVariant
Indicates a variant or alternative form of the southern endpoint or terminus of something (such as a route, line, or boundary).
-
B.
hasSouthernTerminus
chosen
Indicates that one entity serves as the southern endpoint or terminus of another entity, such as a route, line, or path.
-
C.
southTerminusType
Indicates the type or nature of the southern endpoint or terminus of something (such as a route, line, or boundary).
-
D.
lineDirectionSouth
Indicates that a line or path is oriented or directed toward the south.
-
E.
southTerminusRegion
Indicates that a given region serves as the southern endpoint or terminus of a specified route, feature, or entity.
- F. None of above.
Provenance (3 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:14 p.m.