Triple
T3811546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melton Hill Dam |
E93145
|
entity |
| Predicate | reservoirShorelineLength |
P1568
|
FINISHED |
| Object | approximately 173 miles |
—
|
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: approximately 173 miles | Statement: [Melton Hill Dam, reservoirShorelineLength, approximately 173 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirShorelineLength Context triple: [Melton Hill Dam, reservoirShorelineLength, approximately 173 miles]
-
A.
reservoirSurfaceArea
Indicates the total area covered by the surface of a reservoir.
-
B.
shorelineLength
chosen
Indicates the total measured extent of a land area’s boundary where it meets a body of water.
-
C.
reservoirTotalCapacity
Indicates the maximum volume of water that a reservoir is designed to hold when full.
-
D.
reservoirAlsoKnownAs
Indicates that a reservoir is referred to by an alternative name or alias.
-
E.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:16 p.m.