Triple
T13754397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haughley |
E330436
|
entity |
| Predicate | civilParishIncludes |
P852
|
FINISHED |
| Object |
Haughley Green
Haughley Green is a small settlement in Suffolk, England, forming part of the rural community around the village of Haughley.
|
E1061688
|
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: Haughley Green | Statement: [Haughley, civilParishIncludes, Haughley Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haughley Green Context triple: [Haughley, civilParishIncludes, Haughley Green]
-
A.
Hatfield Heath
Hatfield Heath is a village and civil parish in the Uttlesford district of Essex, England, known for its large village green and rural character.
-
B.
Hoggen Green
Hoggen Green is the former name of College Green, a historic public space in central Dublin, Ireland.
-
C.
Wylde Green
Wylde Green is a suburban railway station in the West Midlands, England, serving the Wylde Green area of Sutton Coldfield on the Cross-City Line.
-
D.
Letchmore Heath
Letchmore Heath is a small, picturesque village in Hertfordshire, England, known for its traditional village green and historic rural character.
-
E.
Langton Green
Langton Green is a village in Kent, England, situated near Tunbridge Wells and known for its residential character and local community amenities.
- 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: Haughley Green Triple: [Haughley, civilParishIncludes, Haughley Green]
Generated description
Haughley Green is a small settlement in Suffolk, England, forming part of the rural community around the village of Haughley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haughley Green Target entity description: Haughley Green is a small settlement in Suffolk, England, forming part of the rural community around the village of Haughley.
-
A.
Hatfield Heath
Hatfield Heath is a village and civil parish in the Uttlesford district of Essex, England, known for its large village green and rural character.
-
B.
Hoggen Green
Hoggen Green is the former name of College Green, a historic public space in central Dublin, Ireland.
-
C.
Wylde Green
Wylde Green is a suburban railway station in the West Midlands, England, serving the Wylde Green area of Sutton Coldfield on the Cross-City Line.
-
D.
Letchmore Heath
Letchmore Heath is a small, picturesque village in Hertfordshire, England, known for its traditional village green and historic rural character.
-
E.
Langton Green
Langton Green is a village in Kent, England, situated near Tunbridge Wells and known for its residential character and local community amenities.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06d9fd48190a10b86a0d68fac70 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b11b824881909ed068c7d608d956 |
completed | May 3, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e0ab948190a046a68aa5e029a6 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:09 p.m.