Triple
T7818171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Moore |
E181062
|
entity |
| Predicate | yearOfFirstProcessingAtEllisIsland |
P79176
|
FINISHED |
| Object | 1892 |
—
|
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: 1892 | Statement: [Annie Moore, yearOfFirstProcessingAtEllisIsland, 1892]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFirstProcessingAtEllisIsland Context triple: [Annie Moore, yearOfFirstProcessingAtEllisIsland, 1892]
-
A.
numberOfImmigrantsProcessed
Indicates the total count of immigrants that have been processed in a given context or system.
-
B.
yearOfImmigration
Indicates the specific year in which an entity immigrated to a new country or region.
-
C.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
-
D.
immigratedOn
Indicates that an entity moved to and settled in a new country or region on a specific date.
-
E.
yearOfArrivalInNewWorld
Indicates the specific year in which an entity arrived in the New World.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf9708bdc8190a5154efe0f96f458 |
completed | March 30, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:40 p.m.