Triple
T19176958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TA24 |
E469464
|
entity |
| Predicate | coversSettlement |
P112558
|
FINISHED |
| Object | Blue Anchor |
—
|
NE NERFINISHED |
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: Blue Anchor | Statement: [TA24, coversSettlement, Blue Anchor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Anchor Context triple: [TA24, coversSettlement, Blue Anchor]
-
A.
The Harbour
The Harbour is a creative work by Croatian illustrator, animator, and filmmaker Milan Trenc, known for his distinctive, surreal visual style.
-
B.
The Boat
The Boat is a notable work associated with Joe Roberts, recognized for its creative and artistic significance.
-
C.
The Boat
The Boat is a renowned painting by Catalan modernist artist Ramon Casas, exemplifying his atmospheric style and interest in contemporary life.
-
D.
Ferryside
chosen
Ferryside is a small coastal village in Carmarthenshire, Wales, situated on the estuary of the River Towy and known for its scenic views and maritime heritage.
-
E.
Wayfarer
Wayfarer is Ray-Ban’s iconic trapezoidal-frame sunglasses style, known for its classic, slightly angular design that has remained popular since the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f618f18c8190b98995fda4b6fea0 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.