Triple
T10378399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princeton |
E244565
|
entity |
| Predicate | distanceToTrenton |
P93675
|
FINISHED |
| Object | approximately 11 miles |
—
|
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 11 miles | Statement: [Princeton, distanceToTrenton, approximately 11 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTrenton Context triple: [Princeton, distanceToTrenton, approximately 11 miles]
-
A.
distanceToNewarkOnTrent
Indicates the measured distance between a given place or object and the location of Newark-on-Trent.
-
B.
directionFromTrenton
Indicates the cardinal or relative compass direction in which one entity is located from Trenton.
-
C.
distanceToPhiladelphia
Indicates the spatial distance between a given entity’s location and the city of Philadelphia.
-
D.
distanceFromPennStation
Indicates the physical distance between a given location and Penn Station.
-
E.
distanceToHarrisburg
Indicates the spatial distance between a given entity and the location of Harrisburg.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98fead88190ace49f34b8a27c25 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:03 p.m.