Triple
T21343317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmyra, Pennsylvania |
E526257
|
entity |
| Predicate | distanceToHershey |
P143783
|
FINISHED |
| Object | a few miles west of Hershey |
—
|
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: a few miles west of Hershey | Statement: [Palmyra, Pennsylvania, distanceToHershey, a few miles west of Hershey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHershey Context triple: [Palmyra, Pennsylvania, distanceToHershey, a few miles west of Hershey]
-
A.
distanceFromHamilton
Indicates the spatial distance between a given entity and the location identified as Hamilton.
-
B.
distanceToMoshi
Indicates the spatial distance between a given entity and the location Moshi.
-
C.
distanceToHughTown
Indicates the spatial distance between a given location and Hugh Town.
-
D.
distanceFromHanaTown (miles)
Indicates the number of miles separating a given place or entity from Hana Town.
-
E.
distanceToColumbus
Indicates the spatial distance between a given entity and the location of Columbus.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a8515bc48190b79f80e505550cd5 |
completed | April 22, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:44 p.m.