Triple
T11975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Coast of the United States |
E244
|
entity |
| Predicate | economicRole |
P268
|
FINISHED |
| Object | gateway for trans-Pacific trade |
—
|
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: gateway for trans-Pacific trade | Statement: [West Coast of the United States, economicRole, gateway for trans-Pacific trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRole Context triple: [West Coast of the United States, economicRole, gateway for trans-Pacific trade]
-
A.
role
chosen
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
B.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
C.
namesakeOccupation
Indicates that one entity’s occupation is the same as, or derived from, the occupation associated with the other entity’s namesake.
-
D.
employer
Indicates a relationship where one entity hires, pays, and oversees the work of another entity.
-
E.
economicSystem
Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a241ea1ea081908e8a81ca97531ba5 |
completed | Feb. 28, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69a23fe7da8c8190aea795b62cb91621 |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.