Triple
T1476298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essex |
E30848
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Rayleigh
Rayleigh is a historic market town in the county of Essex, England, known for its medieval roots and prominent hilltop location.
|
E168879
|
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: Rayleigh | Statement: [Essex, containsSettlement, Rayleigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rayleigh Context triple: [Essex, containsSettlement, Rayleigh]
-
A.
Hartley
Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
-
B.
Hartley
Hartley is a small census-designated community located in Solano County, California.
-
C.
Westland
Westland is a municipality in the Dutch province of South Holland known for its extensive greenhouse horticulture and flower production.
-
D.
Westland
Westland is a suburban city in southeastern Michigan, United States, known as part of the Detroit metropolitan area.
-
E.
Montagu
Montagu is a British noble family name most famously associated with John Montagu, 4th Earl of Sandwich, after whom the sandwich is named.
- 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: Rayleigh Triple: [Essex, containsSettlement, Rayleigh]
Generated description
Rayleigh is a historic market town in the county of Essex, England, known for its medieval roots and prominent hilltop location.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rayleigh Target entity description: Rayleigh is a historic market town in the county of Essex, England, known for its medieval roots and prominent hilltop location.
-
A.
Hartley
Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
-
B.
Hartley
Hartley is a small census-designated community located in Solano County, California.
-
C.
Westland
Westland is a municipality in the Dutch province of South Holland known for its extensive greenhouse horticulture and flower production.
-
D.
Westland
Westland is a suburban city in southeastern Michigan, United States, known as part of the Detroit metropolitan area.
-
E.
Montagu
Montagu is a British noble family name most famously associated with John Montagu, 4th Earl of Sandwich, after whom the sandwich is named.
- 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_69ad15ab9430819094deb90436983036 |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad1618cfa48190b0050e8451e9cd48 |
completed | March 8, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1689940c8190ba611a74955033d2 |
completed | March 8, 2026, 6:26 a.m. |
Created at: March 1, 2026, 8:11 p.m.