Triple
T3472418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Sanitary and Ship Canal |
E73293
|
entity |
| Predicate | engineeredFlowDirection |
P8846
|
FINISHED |
| Object | away from Lake Michigan |
—
|
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: away from Lake Michigan | Statement: [Chicago Sanitary and Ship Canal, engineeredFlowDirection, away from Lake Michigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineeredFlowDirection Context triple: [Chicago Sanitary and Ship Canal, engineeredFlowDirection, away from Lake Michigan]
-
A.
dataFlowDirection
Indicates the direction in which data moves or is transmitted from a source entity to a target entity.
-
B.
circuitDirection
Indicates the orientation or flow direction of a circuit or circuit path relative to its components or layout.
-
C.
pilgrimFlowDirection
Indicates the direction in which pilgrims move or travel along a route, path, or within a pilgrimage site.
-
D.
flowsGenerallyDirection
Indicates that something typically moves or progresses in a particular overall direction, without requiring an exact or constant path.
-
E.
drainageDirection
chosen
Indicates the direction in which water or other fluids flow or are drained away from a given point or area.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3cc8488190b97c732e3f600a90 |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae07802c8190919c49b0e65b2797 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.