Triple
T35994022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sitka fishing fleet |
E1040928
|
entity |
| Predicate | gearTypeUsed |
P101141
|
FINISHED |
| Object | trolling gear |
—
|
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: trolling gear | Statement: [Sitka fishing fleet, gearTypeUsed, trolling gear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gearTypeUsed Context triple: [Sitka fishing fleet, gearTypeUsed, trolling gear]
-
A.
gearSystemType
Indicates the specific configuration or category of gear mechanism used in a system or device.
-
B.
wearerType
Indicates the type or category of entity that is intended to wear or use the associated item.
-
C.
typicalGear
Indicates that the object represents the usual or standard equipment or gear commonly associated with the subject.
-
D.
typeOfEquipmentUsed
chosen
Indicates that a particular piece or category of equipment is utilized in performing a specific action, process, or activity.
-
E.
kitType
Indicates the specific category or configuration of a kit associated with an entity or activity.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.