Triple
T17003653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dream Lake |
E412511
|
entity |
| Predicate | depthRelativeDescription |
P126125
|
FINISHED |
| Object | very shallow |
—
|
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: very shallow | Statement: [Dream Lake, depthRelativeDescription, very shallow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depthRelativeDescription Context triple: [Dream Lake, depthRelativeDescription, very shallow]
-
A.
positionDescribed
Indicates that a position, location, or spatial arrangement of an entity is explicitly specified or characterized, typically in descriptive terms.
-
B.
relativePosition
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
C.
relativePositioning
Indicates how one entity is spatially arranged or located in relation to another entity.
-
D.
directionRelativeTo
Indicates the spatial orientation of one entity in relation to another, such as which way it faces or points relative to a reference entity.
-
E.
positionRelativeToBuilding
Indicates the spatial relationship of an entity’s location with respect to a specific building (e.g., in front of, behind, adjacent to, on top of).
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d380f968819097b59e7bac333ea4 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.