Triple
T36721037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crooked River (Michigan) |
E907059
|
entity |
| Predicate | hasLockOrDam |
P85577
|
FINISHED |
| Object | Crooked River Lock |
—
|
NE NERFINISHED |
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: Crooked River Lock | Statement: [Crooked River (Michigan), hasLockOrDam, Crooked River Lock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLockOrDam Context triple: [Crooked River (Michigan), hasLockOrDam, Crooked River Lock]
-
A.
hasLockAndDamSystem
Indicates that one entity possesses or is equipped with a system of locks and dams used to control water levels and facilitate navigation.
-
B.
hasDownstreamDam
Indicates that one water barrier or dam is located downstream from another along the same watercourse.
-
C.
isUndammed
Indicates that a watercourse or river segment is free of dams or artificial barriers that obstruct its natural flow.
-
D.
hasCanalLock
chosen
Indicates that one entity (typically a canal or waterway) includes or is equipped with a canal lock used to raise and lower boats between stretches of water at different levels.
-
E.
hasMajorDams
Indicates that the subject possesses or contains one or more significant dams, typically large or important water-retaining structures.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff6ef0d61c81909162d37c15a1a3c3 |
completed | May 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ff6c6a58e08190921317062cd9d489 |
completed | May 9, 2026, 5:18 p.m. |
Created at: May 3, 2026, 4:12 p.m.