Triple
T13897144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Middlesex (Jamaica) |
E334117
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Hayes
Hayes is a town in the southern Jamaican parish of Clarendon, known historically for its sugar estates and bauxite-related industry.
|
E1068249
|
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: Hayes | Statement: [County of Middlesex (Jamaica), containsSettlement, Hayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayes Context triple: [County of Middlesex (Jamaica), containsSettlement, Hayes]
-
A.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
B.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
-
C.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
-
D.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
E.
Hayden
Hayden is a small city in northern Idaho, known for its proximity to Hayden Lake and its role as part of the Coeur d'Alene metropolitan area.
- 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: Hayes Triple: [County of Middlesex (Jamaica), containsSettlement, Hayes]
Generated description
Hayes is a town in the southern Jamaican parish of Clarendon, known historically for its sugar estates and bauxite-related industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hayes Target entity description: Hayes is a town in the southern Jamaican parish of Clarendon, known historically for its sugar estates and bauxite-related industry.
-
A.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
B.
Hayes
Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
-
C.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
-
D.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
E.
Hayden
Hayden is a small city in northern Idaho, known for its proximity to Hayden Lake and its role as part of the Coeur d'Alene metropolitan area.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d72c6c819093bf9c43136839d4 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71eb1808190b0a3a28a8011e9c7 |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c86a3640819081ed689bd271f909 |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9b2930c8190983f2c55a0dd35f6 |
completed | May 3, 2026, 10:18 p.m. |
Created at: April 9, 2026, 10:15 p.m.