Triple
T7787593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frinton-on-Sea |
E187285
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Great Holland
Great Holland is a small village in Essex, England, situated near the coastal town of Frinton-on-Sea.
|
E692886
|
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: Great Holland | Statement: [Frinton-on-Sea, hasNearbySettlement, Great Holland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Holland Context triple: [Frinton-on-Sea, hasNearbySettlement, Great Holland]
-
A.
Holland
Holland is a regional less-than-truckload (LTL) freight carrier in the United States known for its operations in the Midwest and surrounding areas.
-
B.
Holland
Holland is a common English surname of Dutch origin, historically referring to people from the Holland region of the Netherlands.
-
C.
Holland
Holland is a historic coastal region in the western Netherlands that became the political and economic heartland of the emerging Dutch state.
-
D.
Hollandia
Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
-
E.
Hollandia
Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
- 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: Great Holland Triple: [Frinton-on-Sea, hasNearbySettlement, Great Holland]
Generated description
Great Holland is a small village in Essex, England, situated near the coastal town of Frinton-on-Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Great Holland Target entity description: Great Holland is a small village in Essex, England, situated near the coastal town of Frinton-on-Sea.
-
A.
Holland
Holland is a regional less-than-truckload (LTL) freight carrier in the United States known for its operations in the Midwest and surrounding areas.
-
B.
Holland
Holland is a common English surname of Dutch origin, historically referring to people from the Holland region of the Netherlands.
-
C.
Holland
Holland is a historic coastal region in the western Netherlands that became the political and economic heartland of the emerging Dutch state.
-
D.
Hollandia
Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
-
E.
Hollandia
Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf61f77808190a5a1814fe1cb7ae1 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ff934819094f8089b0bd8dde7 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa512e748190a52fe462d3d59f06 |
completed | March 30, 2026, 10:33 p.m. |
Created at: March 30, 2026, 4:24 p.m.