Triple
T2130269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidcup |
E46520
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
SIDCUP
SIDCUP is a suburban district in southeast London, England, known for its residential character and commuter links into central London.
|
E237400
|
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: SIDCUP | Statement: [Sidcup, hasPostTown, SIDCUP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIDCUP Context triple: [Sidcup, hasPostTown, SIDCUP]
-
A.
CUP
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
-
B.
The Cup
The Cup is a common nickname for the Stanley Cup, the championship trophy awarded annually to the National Hockey League playoff winner and one of the most iconic prizes in professional sports.
-
C.
CUPAR
CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
-
D.
CID
The CID was a high-level British government body responsible for coordinating defense and military policy across the Empire in the early 20th century.
-
E.
CID
CID is the abbreviated name for the Criminal Investigations Division of the Metropolitan Police Department, responsible for conducting in-depth investigations into serious crimes.
- 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: SIDCUP Triple: [Sidcup, hasPostTown, SIDCUP]
Generated description
SIDCUP is a suburban district in southeast London, England, known for its residential character and commuter links into central London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SIDCUP Target entity description: SIDCUP is a suburban district in southeast London, England, known for its residential character and commuter links into central London.
-
A.
CUP
CUP is an academic publishing organization associated with York University, known for producing scholarly books and journals.
-
B.
The Cup
The Cup is a common nickname for the Stanley Cup, the championship trophy awarded annually to the National Hockey League playoff winner and one of the most iconic prizes in professional sports.
-
C.
CUPAR
CUPAR is a historic market town in Fife, Scotland, known for its traditional architecture and role as a local administrative and commercial center.
-
D.
CID
The CID was a high-level British government body responsible for coordinating defense and military policy across the Empire in the early 20th century.
-
E.
CID
CID is the abbreviated name for the Criminal Investigations Division of the Metropolitan Police Department, responsible for conducting in-depth investigations into serious crimes.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb77ccc4819087bee5dbb91b5ae8 |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51a5d95881909b4b77c14f565e21 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae523cdebc819088b94e67b5311527 |
completed | March 9, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae52c56c5c8190bbdd2af3dde63374 |
completed | March 9, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:44 p.m.