Triple
T3700639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arinagour |
E78568
|
entity |
| Predicate | locatedOnIsland |
P970
|
FINISHED |
| Object | Coll |
E15004
|
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: Coll | Statement: [Arinagour, locatedOnIsland, Coll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coll Context triple: [Arinagour, locatedOnIsland, Coll]
-
A.
Coll
chosen
Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
-
B.
Ban
Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
-
C.
COR
COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
-
D.
COLL
COLL is the standard abbreviation for the Division of Colloid and Surface Chemistry, a professional body focused on research and advancement in colloid and surface science.
-
E.
Kick
Kick was the affectionate nickname of Kathleen Kennedy Cavendish, the socially prominent and charismatic sister of U.S. President John F. Kennedy.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc514eb6c8190b3b74a603c717729 |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db041370819084b04e46d95ca966 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:26 p.m.