Triple
T5755958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benenden |
E126966
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object |
Iden Green
Iden Green is a small rural village in Kent, England, known for its traditional English countryside character and proximity to the larger village of Benenden.
|
E545716
|
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: Iden Green | Statement: [Benenden, hasNearbyVillage, Iden Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iden Green Context triple: [Benenden, hasNearbyVillage, Iden Green]
-
A.
Lea Green
Lea Green is a railway station in St Helens, Merseyside, serving as a local stop on routes between Liverpool and Manchester.
-
B.
Natalie Green
Natalie Green is a cheerful, quick-witted student and aspiring writer who serves as one of the core teen characters on the classic TV sitcom "The Facts of Life."
-
C.
Katrina Greenwood
Katrina Greenwood is known as the long-term partner of acclaimed Australian actor Hugo Weaving.
-
D.
Molly Greene
Molly Greene is a relatively obscure individual whose specific public notability is not clearly established from the given information.
-
E.
Kelly Grayson
Kelly Grayson is a central character on the science fiction comedy series "The Orville," serving as the ship's first officer and the ex-wife of Captain Ed Mercer.
- 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: Iden Green Triple: [Benenden, hasNearbyVillage, Iden Green]
Generated description
Iden Green is a small rural village in Kent, England, known for its traditional English countryside character and proximity to the larger village of Benenden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iden Green Target entity description: Iden Green is a small rural village in Kent, England, known for its traditional English countryside character and proximity to the larger village of Benenden.
-
A.
Lea Green
Lea Green is a railway station in St Helens, Merseyside, serving as a local stop on routes between Liverpool and Manchester.
-
B.
Natalie Green
Natalie Green is a cheerful, quick-witted student and aspiring writer who serves as one of the core teen characters on the classic TV sitcom "The Facts of Life."
-
C.
Katrina Greenwood
Katrina Greenwood is known as the long-term partner of acclaimed Australian actor Hugo Weaving.
-
D.
Molly Greene
Molly Greene is a relatively obscure individual whose specific public notability is not clearly established from the given information.
-
E.
Kelly Grayson
Kelly Grayson is a central character on the science fiction comedy series "The Orville," serving as the ship's first officer and the ex-wife of Captain Ed Mercer.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02906848c8190bf7b0d62f57c27fa |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e47c1788190b5883df385475237 |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c08e5a7950819099cd9c9bd6c7a99a |
completed | March 23, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08ed0c3ac8190a7093667bcd4fb0f |
completed | March 23, 2026, 12:52 a.m. |
Created at: March 22, 2026, 3:49 p.m.