Triple
T9351819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menai Strait |
E225035
|
entity |
| Predicate | hasAquaculture |
P72915
|
FINISHED |
| Object | mussel farming |
—
|
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: mussel farming | Statement: [Menai Strait, hasAquaculture, mussel farming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAquaculture Context triple: [Menai Strait, hasAquaculture, mussel farming]
-
A.
aquacultureAdvantage
Indicates that engaging in aquaculture provides a benefit, improvement, or positive outcome relative to some alternative or baseline.
-
B.
aquacultureProduct
chosen
Indicates that something is a product derived from aquaculture activities, such as the farming or cultivation of aquatic organisms.
-
C.
hasFishingSpecies
Indicates that a location, body of water, or fishing area supports or contains one or more specific species that can be fished there.
-
D.
aquacultureImportance
Indicates the degree to which aquaculture plays a significant or critical role in or has impact on a given entity, system, or context.
-
E.
containsFishery
Indicates that one entity includes, encompasses, or has within its area a fishery or fishing-related operation.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f93a9848190ad2ae24f2aa607d2 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:41 p.m.