Triple
T424651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pier 39 |
E8179
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Angel Island |
E6875
|
NE 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: Angel Island | Statement: [Pier 39, hasViewOf, Angel Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel Island Context triple: [Pier 39, hasViewOf, Angel Island]
-
A.
Angel Island
chosen
Angel Island is a historic island in San Francisco Bay known for its former U.S. immigration station, often called the "Ellis Island of the West."
-
B.
Ellis Island
Ellis Island is a historic immigration station in New York Harbor that served as the primary entry point for millions of immigrants to the United States from 1892 to 1954.
-
C.
Asylum Hill
Asylum Hill is a historic neighborhood in Hartford, Connecticut, known for its Victorian architecture, major insurance company headquarters, and cultural institutions.
-
D.
La Espero
La Espero is the poem by L. L. Zamenhof that serves as the de facto anthem of the international language Esperanto, expressing its ideals of peace and global understanding.
-
E.
Harborland
Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eed3e4cc8190ba6aff3bd1adb06f |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42a17403081909bcbbc0fdfdc25dc |
completed | March 1, 2026, 11:59 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.