Triple
T23321606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garfield, New Jersey |
E591164
|
entity |
| Predicate | distanceToMidtownManhattanMiles |
P74867
|
FINISHED |
| Object | approximately 12 |
—
|
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 12 | Statement: [Garfield, New Jersey, distanceToMidtownManhattanMiles, approximately 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMidtownManhattanMiles Context triple: [Garfield, New Jersey, distanceToMidtownManhattanMiles, approximately 12]
-
A.
distance to Midtown Manhattan (miles)
chosen
Indicates the physical separation between a location and Midtown Manhattan, measured in miles.
-
B.
distanceFromGrandCentral
Indicates the spatial distance between a given entity and Grand Central.
-
C.
distanceToNewYorkCity
Indicates the spatial distance between a given entity’s location and New York City.
-
D.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
E.
distanceFromPennStation
Indicates the physical distance between a given location and Penn Station.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978672148190bb90804361bb896b |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:07 p.m.