Triple
T3544088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Epsom and Ewell |
E74953
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nork (part) |
E156516
|
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: Nork (part) | Statement: [Borough of Epsom and Ewell, contains, Nork (part)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nork (part) Context triple: [Borough of Epsom and Ewell, contains, Nork (part)]
-
A.
Nork
chosen
Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
-
B.
Norby
Norby is a quirky, intelligent robot protagonist from the science fiction series "The Norby Chronicles" created by Janet and Isaac Asimov.
-
C.
NOK
NOK is the official currency code for the Norwegian krone, the national currency of Norway.
-
D.
Nordy
Nordy is the furry, wildcat-like official mascot of the NHL’s Minnesota Wild, known for entertaining fans at games and community events.
-
E.
Nonsan
Nonsan is a city in South Chungcheong Province, South Korea, known for its agricultural production and military training facilities.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf76c5b08190b898d31b80a3a350 |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bdfe5748190b2de831635221ce1 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.