Triple
T11195102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Cuitzeo |
E264901
|
entity |
| Predicate | hasPrimaryInflows |
P4496
|
FINISHED |
| Object | seasonal streams |
—
|
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: seasonal streams | Statement: [Lake Cuitzeo, hasPrimaryInflows, seasonal streams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryInflows Context triple: [Lake Cuitzeo, hasPrimaryInflows, seasonal streams]
-
A.
hasPrimaryInflow
chosen
Indicates that one entity serves as the main source of inflowing material, energy, or influence into another entity.
-
B.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
-
C.
hasPrimaryActivities
Indicates that an entity is associated with one or more main activities that define its core functions or operations.
-
D.
secondaryInflow
Indicates an additional, non-primary flow of something (such as water, resources, or information) entering a main system or channel.
-
E.
inflowTo
Indicates that something (such as a fluid, resource, or quantity) flows or moves into a specified target or destination.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8bf14e481908563b15790af4d20 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.