Triple
T13280018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KISP |
E316294
|
entity |
| Predicate | distanceFromNYC |
P2383
|
FINISHED |
| Object | approximately 50 miles east of Manhattan |
—
|
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 50 miles east of Manhattan | Statement: [KISP, distanceFromNYC, approximately 50 miles east of Manhattan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNYC Context triple: [KISP, distanceFromNYC, approximately 50 miles east of Manhattan]
-
A.
distanceToNewYorkCity
chosen
Indicates the spatial distance between a given entity’s location and New York City.
-
B.
distanceFromLosAngeles
Indicates the measured or specified distance between a given entity’s location and the city of Los Angeles.
-
C.
distanceFromGrandCentral
Indicates the spatial distance between a given entity and Grand Central.
-
D.
locatedInDirectionFromNYC
Indicates that one place is situated in a specified compass direction relative to New York City.
-
E.
distanceFromSanFrancisco
Indicates the measured distance between a given entity’s location and the city of San Francisco.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.