Triple
T1476307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essex |
E30848
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Ongar
Ongar is a small historic town and civil parish in the county of Essex in southeast England.
|
E205382
|
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: Ongar | Statement: [Essex, containsSettlement, Ongar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ongar Context triple: [Essex, containsSettlement, Ongar]
-
A.
Stansted Mountfitchet
Stansted Mountfitchet is a village in Essex, England, best known for being the nearby settlement to London Stansted Airport and for its historic Norman castle and medieval-themed tourist attractions.
-
B.
Chobham
Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
-
C.
Bracknell
Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
-
D.
Saffron Walden
Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
-
E.
Esher
Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
- 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: Ongar Triple: [Essex, containsSettlement, Ongar]
Generated description
Ongar is a small historic town and civil parish in the county of Essex in southeast England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ongar Target entity description: Ongar is a small historic town and civil parish in the county of Essex in southeast England.
-
A.
Stansted Mountfitchet
Stansted Mountfitchet is a village in Essex, England, best known for being the nearby settlement to London Stansted Airport and for its historic Norman castle and medieval-themed tourist attractions.
-
B.
Chobham
Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
-
C.
Bracknell
Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
-
D.
Saffron Walden
Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
-
E.
Esher
Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c603f9e88190b340734709534860 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc986352881909dcc435095bc0f8f |
completed | March 8, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69adcb87535c8190a3d152e593d47165 |
completed | March 8, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcc295e648190b42156f3607d9e2e |
completed | March 8, 2026, 7:21 p.m. |
Created at: March 1, 2026, 8:11 p.m.