Triple
T615710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Oakland |
E14398
|
entity |
| Predicate | majorTradeType |
P17159
|
FINISHED |
| Object | containerized cargo |
—
|
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: containerized cargo | Statement: [Port of Oakland, majorTradeType, containerized cargo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorTradeType Context triple: [Port of Oakland, majorTradeType, containerized cargo]
-
A.
majorExport
Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
-
B.
majorTradingCompany
Indicates that the subject is a principal or highly significant company engaged in large-scale trading activities with the object.
-
C.
tradesAs
Indicates that one entity conducts business or is publicly known under the trading name or brand of another entity.
-
D.
percentageOfWorldTrade
Indicates the proportion of total global trade that is accounted for by a particular entity or group.
-
E.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e0b438881909ad515adf7a4eb79 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfbcbf88190a854921dc531eba8 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.