Triple
T1898277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale of White Horse |
E37631
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Botley
Botley is a village and suburb on the western edge of Oxford, England, known for its residential character and proximity to the city.
|
E212398
|
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: Botley | Statement: [Vale of White Horse, containsSettlement, Botley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Botley Context triple: [Vale of White Horse, containsSettlement, Botley]
-
A.
Bebot
"Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
-
B.
Cozmo
Cozmo is the playful, costumed alien mascot of Major League Soccer club LA Galaxy, known for entertaining fans at matches and team events.
-
C.
Joe Robot
"Joe Robot" is a song by the band The Network, known for its synth-driven, new wave punk style and satirical, futuristic themes.
-
D.
Kismet
Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
-
E.
Kismet
Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
- 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: Botley Triple: [Vale of White Horse, containsSettlement, Botley]
Generated description
Botley is a village and suburb on the western edge of Oxford, England, known for its residential character and proximity to the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Botley Target entity description: Botley is a village and suburb on the western edge of Oxford, England, known for its residential character and proximity to the city.
-
A.
Bebot
"Bebot" is a song by the Black Eyed Peas that blends hip hop with Filipino cultural themes and language.
-
B.
Cozmo
Cozmo is the playful, costumed alien mascot of Major League Soccer club LA Galaxy, known for entertaining fans at matches and team events.
-
C.
Joe Robot
"Joe Robot" is a song by the band The Network, known for its synth-driven, new wave punk style and satirical, futuristic themes.
-
D.
Kismet
Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
-
E.
Kismet
Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb170657481908662089511a8f301 |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf08708819091566511228d8ec8 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adec0ef72481908ecc3c3383e25d3b |
completed | March 8, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec8b0600819086a13abd47f0438d |
completed | March 8, 2026, 9:39 p.m. |
Created at: March 4, 2026, 7:35 p.m.