Triple
T31354321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Key West wrecking industry |
E799684
|
entity |
| Predicate | handledCargoTypes |
P96313
|
FINISHED |
| Object | cotton |
—
|
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: cotton | Statement: [Key West wrecking industry, handledCargoTypes, cotton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handledCargoTypes Context triple: [Key West wrecking industry, handledCargoTypes, cotton]
-
A.
hasCargoHandlingMode
Indicates the method or procedure by which cargo is handled, loaded, or unloaded in a given context.
-
B.
supportsCargoType
chosen
Indicates that one entity is capable of handling, transporting, or accommodating a specified type of cargo.
-
C.
handlesCargoTraffic
Indicates that an entity is responsible for managing or processing the movement of cargo traffic.
-
D.
hasCargoTrafficType
Indicates that an entity is associated with a specific type or category of cargo traffic it handles or supports.
-
E.
cargoHoldType
Indicates the specific type or classification of a cargo hold associated with an entity.
- 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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 29, 2026, 9:17 p.m.