Triple
T30947062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartlett Dam |
E788422
|
entity |
| Predicate | surfaceWaterBodyFormed |
P21976
|
FINISHED |
| Object | Bartlett Lake |
—
|
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: Bartlett Lake | Statement: [Bartlett Dam, surfaceWaterBodyFormed, Bartlett Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceWaterBodyFormed Context triple: [Bartlett Dam, surfaceWaterBodyFormed, Bartlett Lake]
-
A.
surfaceWater
Indicates that one entity consists of or contains surface-level water associated with another entity.
-
B.
riverFormed
Indicates that a river came into existence or was created, typically as a result of natural geological or hydrological processes.
-
C.
hasWaterBodyForm
Indicates that an entity is associated with or characterized by a specific form or type of water body (e.g., lake, river, sea).
-
D.
waterBodyCreated
chosen
Indicates that one entity is responsible for the formation or creation of a particular body of water.
-
E.
surfaceWaterBehavior
Indicates how surface water behaves or changes under certain conditions or over time.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:53 p.m.