Triple
T1002161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowell, Massachusetts |
E21627
|
entity |
| Predicate | hasCanalSystem |
P2432
|
FINISHED |
| Object | Lowell canal system |
—
|
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: Lowell canal system | Statement: [Lowell, Massachusetts, hasCanalSystem, Lowell canal system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanalSystem Context triple: [Lowell, Massachusetts, hasCanalSystem, Lowell canal system]
-
A.
waterwayServed
Indicates that a place, facility, or infrastructure is served by, connected to, or functionally supported by a particular waterway.
-
B.
waterwaySystem
chosen
Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another entity.
-
C.
hasMajorTownOnRiver
Indicates that a major town is located on and directly associated with a particular river.
-
D.
hasFountain
Indicates that one entity contains, features, or is equipped with a fountain.
-
E.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fcbc04819098d2125518f62ae7 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b1f4f88190822598cfd2a0fd2b |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.