Triple
T9903550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staffordshire Moorlands |
E182345
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Kingsley
Kingsley is a small rural village in the Staffordshire Moorlands district of Staffordshire, England.
|
E828064
|
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: Kingsley | Statement: [Staffordshire Moorlands, containsSettlement, Kingsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingsley Context triple: [Staffordshire Moorlands, containsSettlement, Kingsley]
-
A.
Kingsley
Kingsley is a small rural village and civil parish in East Hampshire, England.
-
B.
Kingsley
Kingsley is a masculine given name of English origin, notably borne by British novelist Kingsley Amis.
-
C.
Griffin
Griffin is a city in Spalding County, Georgia, known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
-
D.
Griffin
The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
-
E.
Griffin
Griffin is a surname of English origin borne by numerous notable individuals across fields such as architecture, politics, sports, and entertainment.
- 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: Kingsley Triple: [Staffordshire Moorlands, containsSettlement, Kingsley]
Generated description
Kingsley is a small rural village in the Staffordshire Moorlands district of Staffordshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kingsley Target entity description: Kingsley is a small rural village in the Staffordshire Moorlands district of Staffordshire, England.
-
A.
Kingsley
Kingsley is a small rural village and civil parish in East Hampshire, England.
-
B.
Kingsley
Kingsley is a masculine given name of English origin, notably borne by British novelist Kingsley Amis.
-
C.
Griffin
Griffin is a city in Spalding County, Georgia, known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
-
D.
Griffin
The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
-
E.
Griffin
Griffin is a surname of English origin borne by numerous notable individuals across fields such as architecture, politics, sports, and entertainment.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e4f92c81908e38509416f19c78 |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb2778bc81909d7e09da718d9afa |
completed | April 5, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69d1ed4003fc8190ba7f96913abc55e0 |
completed | April 5, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ed99963881908dd14786a2e2e87f |
completed | April 5, 2026, 5:05 a.m. |
Created at: March 30, 2026, 8:40 p.m.