Triple
T9639012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newtonville station |
E233010
|
entity |
| Predicate | distanceFromBostonTerminus |
P798
|
FINISHED |
| Object | approximately 10 miles west of Boston’s South Station |
—
|
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: approximately 10 miles west of Boston’s South Station | Statement: [Newtonville station, distanceFromBostonTerminus, approximately 10 miles west of Boston’s South Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBostonTerminus Context triple: [Newtonville station, distanceFromBostonTerminus, approximately 10 miles west of Boston’s South Station]
-
A.
distanceFromBoston
chosen
Indicates the spatial distance between a given entity’s location and the city of Boston.
-
B.
distanceFromProvincetownCenterMiles
Indicates the number of miles between an entity’s location and the center of Provincetown.
-
C.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
D.
distanceFromGrandCentral
Indicates the spatial distance between a given entity and Grand Central.
-
E.
distanceToProvidence
Indicates the measured spatial distance between a given entity’s location and the location of Providence.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b532aa4819087b56be6f5635126 |
completed | April 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:12 p.m.