Triple
T2710570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedloe's Island |
E59848
|
entity |
| Predicate | harborRole |
P42487
|
FINISHED |
| Object | strategic defense point for New York Harbor |
—
|
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: strategic defense point for New York Harbor | Statement: [Bedloe's Island, harborRole, strategic defense point for New York Harbor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: harborRole Context triple: [Bedloe's Island, harborRole, strategic defense point for New York Harbor]
-
A.
harborOwnership
Indicates that one entity possesses legal or recognized ownership rights over a harbor or port facility.
-
B.
harbor
Indicates providing shelter, protection, or refuge for someone or something, often by keeping them in a safe or hidden place.
-
C.
harborManagedBy
Indicates that the operation, administration, or oversight of a harbor is carried out by a specified managing entity.
-
D.
harborType
Indicates the specific kind or classification of a harbor associated with an entity.
-
E.
hasHarbor
Indicates that a place possesses or contains a harbor for docking or sheltering vessels.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7771a4819081904bd6b818b81b |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:55 p.m.