Triple
T7712692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amiens |
E174798
|
entity |
| Predicate | twinCity |
P1072
|
FINISHED |
| Object |
Darlington
Darlington is a market town in County Durham, England, historically known for its pioneering role in railway development and engineering.
|
E149816
|
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: Darlington | Statement: [Amiens, twinCity, Darlington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darlington Context triple: [Amiens, twinCity, Darlington]
-
A.
Darlington
Darlington is a market town and borough in County Durham, England, historically known for its pioneering role in railway development.
-
B.
Darlington
Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
-
C.
Darlington
Darlington is a residential neighborhood in the city of Pawtucket, known as one of the oldest and most densely populated areas in Rhode Island.
-
D.
Darlington
Darlington is a civil parish in New South Wales, Australia, that includes the locality of Darlington Point.
-
E.
Darlington, South Carolina
Darlington, South Carolina is a small city in the Pee Dee region best known as the longtime home of NASCAR’s historic Southern 500 race at Darlington Raceway.
- 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: Darlington Triple: [Amiens, twinCity, Darlington]
Generated description
Darlington is a market town in County Durham, England, historically known for its pioneering role in railway development and engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darlington Target entity description: Darlington is a market town in County Durham, England, historically known for its pioneering role in railway development and engineering.
-
A.
Darlington
Darlington is a surname of English origin borne by various notable individuals across fields such as engineering, science, and public life.
-
B.
Darlington
chosen
Darlington is a market town and borough in County Durham, England, historically known for its pioneering role in railway development.
-
C.
Darlington
Darlington is a residential neighborhood in the city of Pawtucket, known as one of the oldest and most densely populated areas in Rhode Island.
-
D.
Darlington
Darlington is a civil parish in New South Wales, Australia, that includes the locality of Darlington Point.
-
E.
Darlington, South Carolina
Darlington, South Carolina is a small city in the Pee Dee region best known as the longtime home of NASCAR’s historic Southern 500 race at Darlington Raceway.
- F. None of above.
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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702c96e388190898165f84d646c0e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b508fa2081908ed05ca8c4815249 |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b7b90d74819098b878c382474d6d |
completed | March 29, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b81816c081909f409d06ccffbe04 |
completed | March 29, 2026, 5:26 a.m. |
Created at: March 27, 2026, 4:04 p.m.