Triple
T11600815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cortland, New York |
E275122
|
entity |
| Predicate | distanceToBinghamton |
P26925
|
FINISHED |
| Object | about 40 miles north |
—
|
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: about 40 miles north | Statement: [Cortland, New York, distanceToBinghamton, about 40 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBinghamton Context triple: [Cortland, New York, distanceToBinghamton, about 40 miles north]
-
A.
distanceToBingham
chosen
Indicates the measured or calculated distance between a given entity and the location named Bingham.
-
B.
distanceToPoughkeepsie
Indicates the spatial distance between a given entity and the location of Poughkeepsie.
-
C.
distanceToNewYorkCity
Indicates the spatial distance between a given entity’s location and New York City.
-
D.
distanceFromJamestown
Indicates the measured distance between a given location and Jamestown.
-
E.
distanceToAlbanyNewYork
Indicates the spatial distance between a given location and Albany, New York.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954c3c248190bcccd4c7ff667b3a |
completed | April 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.