Triple
T5832265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hounslow |
E129377
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Heston |
E317674
|
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: Heston | Statement: [Hounslow, adjacentTo, Heston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heston Context triple: [Hounslow, adjacentTo, Heston]
-
A.
Heston
chosen
Heston is a suburban area in the London Borough of Hounslow, England, known for its residential character and proximity to Heathrow Airport.
-
B.
Hunte
The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
-
C.
Orson
Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
-
D.
Hawkes
Hawkes is the surname of Sylvia Ashley, a British model, actress, and socialite known for her high-profile marriages in the early 20th century.
-
E.
Talbot
Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346c331c8190bac050d425961485 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a19010008190af5600a035246c1a |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:54 p.m.