Triple
T3557522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Eastleigh |
E75253
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Hound
Hound is a coastal civil parish in the Borough of Eastleigh in Hampshire, England, encompassing villages such as Netley and Butlocks Heath.
|
E368725
|
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: Hound | Statement: [Borough of Eastleigh, hasParish, Hound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hound Context triple: [Borough of Eastleigh, hasParish, Hound]
-
A.
Canes
Canes is the nickname commonly used for the University of Miami’s athletic teams, short for the Hurricanes.
-
B.
Hunter the Ridgeback
Hunter the Ridgeback is the canine mascot representing Ontario Tech University’s athletic teams and school spirit.
-
C.
Greyhound
Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
-
D.
Greyhound
Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
-
E.
Hound and Hunter
Hound and Hunter is an 1892 oil painting by American realist artist Winslow Homer depicting a tense hunting scene in the Florida wilderness.
- 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: Hound Triple: [Borough of Eastleigh, hasParish, Hound]
Generated description
Hound is a coastal civil parish in the Borough of Eastleigh in Hampshire, England, encompassing villages such as Netley and Butlocks Heath.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hound Target entity description: Hound is a coastal civil parish in the Borough of Eastleigh in Hampshire, England, encompassing villages such as Netley and Butlocks Heath.
-
A.
Canes
Canes is the nickname commonly used for the University of Miami’s athletic teams, short for the Hurricanes.
-
B.
Hunter the Ridgeback
Hunter the Ridgeback is the canine mascot representing Ontario Tech University’s athletic teams and school spirit.
-
C.
Greyhound
Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
-
D.
Greyhound
Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
-
E.
Hound and Hunter
Hound and Hunter is an 1892 oil painting by American realist artist Winslow Homer depicting a tense hunting scene in the Florida wilderness.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc086e6688190b90ae356e18b953e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb95bcc88190abf1ea2efc30faeb |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc7bf10c81908a1f30cd63892c90 |
completed | March 13, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3e727222881909f8f57890fca1746 |
completed | March 13, 2026, 10:29 a.m. |
Created at: March 8, 2026, 3:20 p.m.