Triple
T12646150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington, Tyne and Wear |
E302027
|
entity |
| Predicate | hasLocalArea |
P41531
|
FINISHED |
| Object |
Harraton
Harraton is a residential locality within Washington in the metropolitan county of Tyne and Wear, England.
|
E995134
|
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: Harraton | Statement: [Washington, Tyne and Wear, hasLocalArea, Harraton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harraton Context triple: [Washington, Tyne and Wear, hasLocalArea, Harraton]
-
A.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
B.
Harquin
Harquin is a children's book by British author-illustrator John Burningham, known for its imaginative storytelling and distinctive, expressive artwork.
-
C.
Hattrop
Hattrop is a small village and district within the town of Soest in North Rhine-Westphalia, Germany.
-
D.
Hawkedon
Hawkedon is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
E.
Hallerowo
Hallerowo is a district of the seaside town Władysławowo in northern Poland, known for its coastal location on the Baltic Sea.
- 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: Harraton Triple: [Washington, Tyne and Wear, hasLocalArea, Harraton]
Generated description
Harraton is a residential locality within Washington in the metropolitan county of Tyne and Wear, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harraton Target entity description: Harraton is a residential locality within Washington in the metropolitan county of Tyne and Wear, England.
-
A.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
B.
Harquin
Harquin is a children's book by British author-illustrator John Burningham, known for its imaginative storytelling and distinctive, expressive artwork.
-
C.
Hattrop
Hattrop is a small village and district within the town of Soest in North Rhine-Westphalia, Germany.
-
D.
Hawkedon
Hawkedon is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
E.
Hallerowo
Hallerowo is a district of the seaside town Władysławowo in northern Poland, known for its coastal location on the Baltic Sea.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687961d88190a605f17425ad7547 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6695372688190b09a2bb2e58cb546 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fbb9f88190b0f5cc5bb758d132 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 9, 2026, 5:17 p.m.