Triple
T25586084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Cliff Dam |
E641384
|
entity |
| Predicate | nearestUpstreamDam |
P46200
|
FINISHED |
| Object | Detroit Dam |
—
|
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: Detroit Dam | Statement: [Big Cliff Dam, nearestUpstreamDam, Detroit Dam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestUpstreamDam Context triple: [Big Cliff Dam, nearestUpstreamDam, Detroit Dam]
-
A.
nearbyDownstreamDam
Indicates that one dam is located a short distance downstream from another along the same watercourse.
-
B.
upstreamDam
chosen
Indicates that one entity is located or positioned upstream of another entity in relation to a dam, typically affecting or influenced by the dam’s presence or operation.
-
C.
nearestDam
Indicates that one dam is the closest in distance to a given reference location or entity compared to all other dams.
-
D.
nearbyMajorDam
Indicates that one entity is located close to a significant dam structure in its surrounding area.
-
E.
isTributaryDamOf
Indicates that a dam is constructed on and regulates the flow of a tributary river or stream relative to a main watercourse.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 4:16 p.m.