Triple
T3635978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USOAK |
E77066
|
entity |
| Predicate | roleInSupplyChain |
P3571
|
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: [USOAK, roleInSupplyChain, gateway for trans-Pacific trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSupplyChain Context triple: [USOAK, roleInSupplyChain, gateway for trans-Pacific trade]
-
A.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
B.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
C.
roleInEcosystem
chosen
Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
-
D.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
E.
underlyingCompanyRole
Indicates the specific function, position, or responsibility an entity holds within or in relation to a company.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3278bb8819098bbeac023410111 |
completed | March 8, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69adb842be7c8190b7dfdb7c906f294c |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.