Triple
T3109181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Luis Reservoir |
E64907
|
entity |
| Predicate | hasFishingSpecies |
P45992
|
FINISHED |
| Object | striped bass |
—
|
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: striped bass | Statement: [San Luis Reservoir, hasFishingSpecies, striped bass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFishingSpecies Context triple: [San Luis Reservoir, hasFishingSpecies, striped bass]
-
A.
hasPrimaryFishSpecies
Indicates that an entity is characterized by or associated with a particular main or dominant fish species.
-
B.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
C.
fisheryType
Indicates the specific category or kind of fishery associated with an entity, such as its operational or regulatory classification.
-
D.
fishingActivity
Indicates an activity where an entity engages in catching or attempting to catch fish or other aquatic organisms.
-
E.
containsAquariumFish
Indicates that one entity includes or holds aquarium fish within it.
- F. None of above. chosen
Provenance (4 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada2a0ab2481908db50738ec3ad0fb |
completed | March 8, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.