Triple
T16841424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borsetshire |
E409421
|
entity |
| Predicate | hasFictionalRegion |
P98586
|
FINISHED |
| Object |
The Am
The Am is a fictional river in the BBC radio drama "The Archers," flowing through the imaginary English county of Borsetshire.
|
E1236989
|
NE FINISHED |
How this triple was built (4 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: The Am | Statement: [Borsetshire, hasFictionalRegion, The Am]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Am Context triple: [Borsetshire, hasFictionalRegion, The Am]
-
A.
Amat
Amat is a surname most notably borne by Pol Amat, a renowned Spanish field hockey player considered one of the sport’s greats.
-
B.
Amay
Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
-
C.
Amm
Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
-
D.
That Dam
That Dam is an ancient, dark-stoned Buddhist stupa in central Vientiane, Laos, surrounded by local legends and considered one of the city’s most historic religious monuments.
-
E.
Amar'e
Amar'e is a retired American professional basketball player best known as an explosive All-Star power forward in the NBA, primarily with the Phoenix Suns and New York Knicks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Am Triple: [Borsetshire, hasFictionalRegion, The Am]
Generated description
The Am is a fictional river in the BBC radio drama "The Archers," flowing through the imaginary English county of Borsetshire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Am Target entity description: The Am is a fictional river in the BBC radio drama "The Archers," flowing through the imaginary English county of Borsetshire.
-
A.
Amat
Amat is a surname most notably borne by Pol Amat, a renowned Spanish field hockey player considered one of the sport’s greats.
-
B.
Amay
Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
-
C.
Amm
Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
-
D.
That Dam
That Dam is an ancient, dark-stoned Buddhist stupa in central Vientiane, Laos, surrounded by local legends and considered one of the city’s most historic religious monuments.
-
E.
Amar'e
Amar'e is a retired American professional basketball player best known as an explosive All-Star power forward in the NBA, primarily with the Phoenix Suns and New York Knicks.
- F. None of above. chosen
Provenance (5 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35167a48190b45a459023e3ab1b |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb199168819080a9ddc7534f19a7 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bc22dc1c81909edc5cdb239f0ea8 |
completed | May 10, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bce879648190acbd5645cd1a4ec8 |
completed | May 10, 2026, 5:14 p.m. |
Created at: April 10, 2026, 5:24 a.m.