Triple
T24797213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Lorenzo Creek |
E620417
|
entity |
| Predicate | hasFishHabitat |
P45992
|
FINISHED |
| Object | habitat for warm-water fish species (intermittent) |
—
|
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: habitat for warm-water fish species (intermittent) | Statement: [San Lorenzo Creek, hasFishHabitat, habitat for warm-water fish species (intermittent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFishHabitat Context triple: [San Lorenzo Creek, hasFishHabitat, habitat for warm-water fish species (intermittent)]
-
A.
hasFishingSpecies
chosen
Indicates that a location, body of water, or fishing area supports or contains one or more specific species that can be fished there.
-
B.
hasAquaticEcosystem
Indicates that an entity possesses, contains, or is associated with an ecosystem primarily based in water (such as rivers, lakes, wetlands, or oceans).
-
C.
containsFish
Indicates that one entity holds, includes, or has fish within its boundaries or contents.
-
D.
hasFreshwaterSection
Indicates that an entity includes or contains a distinct section or area composed of freshwater.
-
E.
containsFishpond
Indicates that one entity includes or has within its boundaries a fishpond.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 4:48 a.m.