Triple
T22449354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon (Arthur Ransome boat) |
E554947
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Swallows crew |
—
|
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: Swallows crew | Statement: [Amazon (Arthur Ransome boat), associatedWith, Swallows crew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swallows crew Context triple: [Amazon (Arthur Ransome boat), associatedWith, Swallows crew]
-
A.
Swallows
chosen
The Swallows are a group of adventurous children who sail and camp in Arthur Ransome’s classic “Swallows and Amazons” series.
-
B.
Swallows
Swallows is a football club commonly known by this short name, referring to Mbabane Swallows F.C., one of Eswatini’s most prominent soccer teams.
-
C.
Swallow
Swallow is a surname most notably associated with Steve Swallow, an influential American jazz bassist and composer.
-
D.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
-
E.
Swallow
Swallow is a character in Benjamin Britten’s opera "Peter Grimes," serving as the town’s authoritative lawyer and magistrate.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4a20f8819097f471084e97e099 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.