Triple
T25067010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Lake |
E627807
|
entity |
| Predicate | hasInflowSource |
P4496
|
FINISHED |
| Object |
Ana Springs
Ana Springs is a natural spring system in south-central Oregon that feeds the nearby Summer Lake and supports a rich wetland ecosystem in an otherwise arid landscape.
|
E1661248
|
NE FINISHED |
How this triple was built (3 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: Ana Springs | Statement: [Summer Lake, hasInflowSource, Ana Springs]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ana Springs Triple: [Summer Lake, hasInflowSource, Ana Springs]
Generated description
Ana Springs is a natural spring system in south-central Oregon that feeds the nearby Summer Lake and supports a rich wetland ecosystem in an otherwise arid landscape.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInflowSource Context triple: [Summer Lake, hasInflowSource, Ana Springs]
-
A.
hasPrimaryInflow
chosen
Indicates that one entity serves as the main source of inflowing material, energy, or influence into another entity.
-
B.
hasInlet
Indicates that one entity serves as an inlet or entry point through which another entity receives a flow of material, energy, or fluid.
-
C.
inflowTo
Indicates that something (such as a fluid, resource, or quantity) flows or moves into a specified target or destination.
-
D.
hasMainSource
Indicates that one entity serves as the primary or principal source or origin for another entity.
-
E.
hasLiveSource
Indicates that an entity is connected to or derived from a real-time, continuously updating data or content source.
- F. None of above.
Provenance (6 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1048d855388190bed563819f0d2c85 |
completed | May 22, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a1049b747c48190a0b61cbd96172411 |
completed | May 22, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a104a7bba188190b4d819ed6c618086 |
completed | May 22, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 18, 2026, 6:10 a.m.