Triple
T11357807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barker Dam area |
E269006
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Barker Dam |
E269626
|
NE 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: Barker Dam | Statement: [Barker Dam area, hasPart, Barker Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barker Dam Context triple: [Barker Dam area, hasPart, Barker Dam]
-
A.
Barker Dam
chosen
Barker Dam is a historic water reservoir and popular scenic spot located within Joshua Tree National Park in California.
-
B.
Bartlett Dam
Bartlett Dam is a concrete multiple-arch dam in central Arizona that creates Bartlett Lake, providing water storage, flood control, and recreation on the Verde River.
-
C.
Barkley Dam
Barkley Dam is a major hydroelectric and flood-control dam in western Kentucky that helps form Lake Barkley and supports navigation, power generation, and recreation in the region.
-
D.
Brantley Dam
Brantley Dam is a major flood-control and irrigation reservoir structure on the Pecos River in southeastern New Mexico.
-
E.
Parker Dam
Parker Dam is a concrete arch-gravity dam on the Colorado River best known for creating Lake Havasu and supplying water and hydroelectric power to parts of California and Arizona.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea419afc8190b3a93141d015ebdf |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a4f804c81909abf5e9a88da1d91 |
completed | May 2, 2026, 2:29 p.m. |
Created at: April 8, 2026, 9:33 p.m.