Triple
T4709511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pier 21 |
E104473
|
entity |
| Predicate | estimatedImmigrantsProcessed |
P11975
|
FINISHED |
| Object | over 1 million |
—
|
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: over 1 million | Statement: [Pier 21, estimatedImmigrantsProcessed, over 1 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedImmigrantsProcessed Context triple: [Pier 21, estimatedImmigrantsProcessed, over 1 million]
-
A.
numberOfImmigrantsProcessed
chosen
Indicates the total count of immigrants that have been processed in a given context or system.
-
B.
estimatedEmigrants
Indicates the estimated number of people who have left a place or country to live elsewhere.
-
C.
restrictedImmigrantsFrom
Indicates that one entity imposed limitations or prohibitions on immigrants originating from another entity.
-
D.
immigrantPopulationShare
Indicates the proportion of a total population that is made up of immigrants.
-
E.
limitedImmigrationFrom
Indicates that an entity restricts or caps the number or conditions of immigrants coming from a specified source 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd680beb508190b3d74e20e1c64405 |
completed | March 20, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69bd621ddcd88190903288566f5e5dab |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:17 p.m.