Triple
T21383410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 190th Street |
E527423
|
entity |
| Predicate | stationDepth |
P87151
|
FINISHED |
| Object | deep-level station |
—
|
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: deep-level station | Statement: [190th Street, stationDepth, deep-level station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationDepth Context triple: [190th Street, stationDepth, deep-level station]
-
A.
deepestStationDepthMeters
Indicates the maximum depth, in meters, reached by any station associated with the subject.
-
B.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
C.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
-
D.
seaDepthRange
Indicates the minimum and maximum water depth values associated with a given sea or marine location.
-
E.
depthBelowSurfaceInMeters
chosen
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f05278819096c511035ffc9777 |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:12 p.m.