Triple
T5464167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American lobster |
E122663
|
entity |
| Predicate | fisheryMethod |
P54152
|
FINISHED |
| Object | lobster traps |
—
|
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: lobster traps | Statement: [American lobster, fisheryMethod, lobster traps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fisheryMethod Context triple: [American lobster, fisheryMethod, lobster traps]
-
A.
fisheryType
Indicates the specific category or kind of fishery associated with an entity, such as its operational or regulatory classification.
-
B.
traditionalFishingMethod
chosen
Indicates a relationship where a fishing activity is carried out using long-established, customary techniques passed down through local or ancestral practice.
-
C.
fishingActivity
Indicates an activity where an entity engages in catching or attempting to catch fish or other aquatic organisms.
-
D.
containsFishery
Indicates that one entity includes, encompasses, or has within its area a fishery or fishing-related operation.
-
E.
fishingPolicy
Indicates the rules, regulations, or management approach governing fishing activities and resource use.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.