Triple
T1616941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Island State Park |
E34739
|
entity |
| Predicate | immigrationStationPrimaryUse |
P30465
|
FINISHED |
| Object | processing immigrants from Asia |
—
|
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: processing immigrants from Asia | Statement: [Angel Island State Park, immigrationStationPrimaryUse, processing immigrants from Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrationStationPrimaryUse Context triple: [Angel Island State Park, immigrationStationPrimaryUse, processing immigrants from Asia]
-
A.
closedAsImmigrationStation
Indicates that an entity ceased operating in its role as an immigration station.
-
B.
positionOnImmigration
Indicates a stance or viewpoint that an entity holds regarding immigration policies or issues.
-
C.
usedToRestrictEmigrationFrom
Indicates that something was employed as a means to limit or control people leaving a particular place or country.
-
D.
usedToRestrictEmigrationTo
Indicates that an entity implemented measures or policies to limit or control people leaving a particular place or jurisdiction.
-
E.
immigrationBackground
Indicates that an entity has a personal or familial history of migration from another country or region.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fef600c819080fe75c42c8e6dac |
completed | March 5, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69a907c52a548190b648a31ea306dd5b |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fedcb108190ad91f938d5eeaaa2 |
completed | March 5, 2026, 8:33 a.m. |
Created at: March 4, 2026, 7:28 p.m.