Triple
T27267845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lighthouse Hill |
E687954
|
entity |
| Predicate | elevationRelativeToNYC |
P167772
|
FINISHED |
| Object | one of the higher points on Staten Island |
—
|
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: one of the higher points on Staten Island | Statement: [Lighthouse Hill, elevationRelativeToNYC, one of the higher points on Staten Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationRelativeToNYC Context triple: [Lighthouse Hill, elevationRelativeToNYC, one of the higher points on Staten Island]
-
A.
rankingInNewYorkByElevation
Indicates the relative ordering of places located in New York based on their elevation above sea level.
-
B.
elevationAboveStreet
Indicates the vertical height difference of something relative to the level of the adjacent street.
-
C.
elevationFeetApproximate
Indicates the approximate elevation of an entity above sea level, measured in feet.
-
D.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
E.
hasApproxElevationFeet
Indicates that an entity is associated with an elevation value measured in feet that is approximate rather than exact.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 27, 2026, 10:57 a.m.