Triple
T12868814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chale |
E307792
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chale Green |
E307792
|
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: Chale Green | Statement: [Chale, contains, Chale Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chale Green Context triple: [Chale, contains, Chale Green]
-
A.
Balgreen
Balgreen is a residential suburb in the west of Edinburgh, Scotland, known for its local parkland and proximity to the city’s tram and rail links.
-
B.
Chaleo
Chaleo was a Thai entrepreneur best known as the co-founder of the Red Bull energy drink empire.
-
C.
Chale
chosen
Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
-
D.
Brandy Green
Brandy Green is known as the daughter of American politician Gene Green, who represented Texas in the U.S. House of Representatives.
-
E.
The Ever Green
The Ever Green is a landmark early 18th-century anthology of older Scottish poetry compiled and edited by Allan Ramsay, which helped revive interest in Scotland’s literary heritage.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708f510c8190b4c64dc340420e85 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb26eb08190912d0b44c345bf41 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.