Triple
T8939342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hull |
E212857
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Aylmer |
E208704
|
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: Aylmer | Statement: [Hull, hasNeighbour, Aylmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aylmer Context triple: [Hull, hasNeighbour, Aylmer]
-
A.
Aylmer
chosen
Aylmer is a former city in western Quebec, Canada, now a sector of Gatineau, known for its historic waterfront and residential character along the Ottawa River.
-
B.
Elias Loomis
Elias Loomis was a 19th-century American mathematician and physicist known for his work in astronomy, meteorology, and mathematical education.
-
C.
Dervan
Dervan is a surname most notably associated with American chemist Peter B. Dervan, known for his pioneering work in bioorganic chemistry and DNA recognition.
-
D.
Mr. Vandemar
Mr. Vandemar is a brutal, seemingly immortal assassin and one of the primary antagonists in Neil Gaiman’s urban fantasy novel "Neverwhere."
-
E.
Randolph Duke
Randolph Duke is a wealthy, manipulative commodities broker from the comedy film "Trading Places," known for orchestrating a cruel social experiment with his brother.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b7484481909e0d7610552f5386 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1eb308c81909f5be133c75ad568 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.