Triple
T19932727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudgwick |
E479094
|
entity |
| Predicate | civilParishIncludes |
P852
|
FINISHED |
| Object |
The Haven
The Haven is a small settlement in West Sussex, England, situated within the rural civil parish of Rudgwick.
|
E1402572
|
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 Haven | Statement: [Rudgwick, civilParishIncludes, The Haven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Haven Context triple: [Rudgwick, civilParishIncludes, The Haven]
-
A.
Haven
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
-
B.
Haven
Haven is a 2000 melodic death metal album by Swedish band Dark Tranquillity, noted for its blend of aggressive riffs and atmospheric, keyboard-driven elements.
-
C.
Haven
Haven is a supernatural mystery television series set in a small Maine town plagued by strange, unexplained phenomena.
-
D.
Haven
Haven is the fictional war-torn city and primary battleground in Patrick Ness’s dystopian young adult novel "Monsters of Men."
-
E.
Haven
Haven is the commonly used nickname for Whitehaven R.L.F.C., a professional rugby league club based in Whitehaven, Cumbria, England.
- 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 Haven Triple: [Rudgwick, civilParishIncludes, The Haven]
Generated description
The Haven is a small settlement in West Sussex, England, situated within the rural civil parish of Rudgwick.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Haven Target entity description: The Haven is a small settlement in West Sussex, England, situated within the rural civil parish of Rudgwick.
-
A.
Haven
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
-
B.
Haven
Haven is a supernatural mystery television series set in a small Maine town plagued by strange, unexplained phenomena.
-
C.
Haven
Haven is the fictional war-torn city and primary battleground in Patrick Ness’s dystopian young adult novel "Monsters of Men."
-
D.
Haven
Haven is the commonly used nickname for Whitehaven R.L.F.C., a professional rugby league club based in Whitehaven, Cumbria, England.
-
E.
Haven
Haven is a 2000 melodic death metal album by Swedish band Dark Tranquillity, noted for its blend of aggressive riffs and atmospheric, keyboard-driven elements.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a14a2348190b41f8e320fe661d6 |
completed | April 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6e639788190a63c52cf284dbe99 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f7d235688190971c9c0063669470 |
completed | May 16, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f891e5c081909e30e9ce7c271359 |
completed | May 16, 2026, 4:54 a.m. |
Created at: April 10, 2026, 1:53 p.m.