Triple
T11655096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Docker Registry |
E276994
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Harbor |
E699802
|
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: Harbor | Statement: [Docker Registry, relatedTo, Harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harbor Context triple: [Docker Registry, relatedTo, Harbor]
-
A.
Harbor
chosen
Harbor is an open-source cloud native container image registry that provides security, identity, and management features for storing and distributing container images.
-
B.
Harbour
Harbour is a surname most prominently associated with American actor David Harbour, known for his role as Jim Hopper in the television series "Stranger Things."
-
C.
Harbour
Harbour is a Swedish horror novel by John Ajvide Lindqvist that blends supernatural elements with psychological suspense in a bleak coastal setting.
-
D.
Yacht Harbor
Yacht Harbor is a marina area along San Francisco’s northern waterfront that provides docking and mooring facilities for recreational boats and yachts.
-
E.
Stage Harbor
Stage Harbor is a scenic natural harbor in Chatham, Massachusetts, known for its sheltered waters, boating, and classic Cape Cod coastal 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3cee010819089cffdbefe5a6efb |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee88166900819095063f045be44bed |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.