Triple
T3472429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Sanitary and Ship Canal |
E73293
|
entity |
| Predicate | designedToCarry |
P40070
|
FINISHED |
| Object | wastewater |
—
|
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: wastewater | Statement: [Chicago Sanitary and Ship Canal, designedToCarry, wastewater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToCarry Context triple: [Chicago Sanitary and Ship Canal, designedToCarry, wastewater]
-
A.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
-
B.
designedToEmbark
Indicates that something is created or configured with the specific purpose of beginning or initiating a journey, process, or undertaking.
-
C.
carriedObjects
Indicates that one entity is transporting or holding another entity as a carried item.
-
D.
alsoCarries
chosen
Indicates that an entity, in addition to other items or responsibilities it has, carries another specified item or load as well.
-
E.
carriedTo
Indicates that one entity transported or conveyed another entity from one place to another.
- 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.