Triple
T9432995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stronsay |
E227430
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Airy |
E753775
|
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: Airy | Statement: [Stronsay, hasSettlement, Airy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airy Context triple: [Stronsay, hasSettlement, Airy]
-
A.
Airy
chosen
Airy is a surname most notably associated with George Biddell Airy, a prominent 19th-century English astronomer and Astronomer Royal.
-
B.
Ethereal
Ethereal was the original name of Wireshark, a widely used open-source network protocol analyzer for troubleshooting, analysis, and education.
-
C.
Breeze
Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
-
D.
Weatherly
Weatherly is a surname most notably associated with American actor Michael Weatherly, known for his roles on television series such as NCIS and Bull.
-
E.
Heavenly
Heavenly is an English indie pop band, formed in the late 1980s by former members of Talulah Gosh, known for their melodic, twee-pop sound and influential releases on labels like Sarah Records and K Records.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e61a114819081fc4a2ad39c96ba |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104514d481908d7cb9a87a01f1e2 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:49 p.m.