Triple
T31610482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradford, Pennsylvania |
E806609
|
entity |
| Predicate | distanceToBuffalo |
P203767
|
FINISHED |
| Object | approximately 75 miles south |
—
|
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 75 miles south | Statement: [Bradford, Pennsylvania, distanceToBuffalo, approximately 75 miles south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBuffalo Context triple: [Bradford, Pennsylvania, distanceToBuffalo, approximately 75 miles south]
-
A.
distanceToRochesterNY
Indicates the spatial distance between a given entity’s location and the location of Rochester, New York.
-
B.
distanceToSyracuse
Indicates the spatial distance between a given entity’s location and the location of Syracuse.
-
C.
distanceToNewYorkCity
Indicates the spatial distance between a given entity’s location and New York City.
-
D.
distanceToPoughkeepsie
Indicates the spatial distance between a given entity and the location of Poughkeepsie.
-
E.
distanceToUtica
Indicates the spatial distance between a given location or object and the place named Utica.
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01ed1790148190b08c1dba53de4371 |
completed | May 11, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_6a01e9c20798819085760b377dc7b3fa |
completed | May 11, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_6a01ed16dfe88190a030c75107b954a5 |
completed | May 11, 2026, 2:52 p.m. |
Created at: April 30, 2026, 10:36 p.m.