Triple
T10865759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farne Islands |
E256524
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Big Harcar
Big Harcar is one of the rocky Farne Islands off the coast of Northumberland, England, known for its seabird colonies and treacherous surrounding waters.
|
E891349
|
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: Big Harcar | Statement: [Farne Islands, hasIsland, Big Harcar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Harcar Context triple: [Farne Islands, hasIsland, Big Harcar]
-
A.
Parlick
Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
-
B.
Haro
Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
-
C.
Big Eagle
Big Eagle was a prominent Mdewakanton Dakota leader known for his key role in the Dakota War of 1862 against United States forces in Minnesota.
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
- 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: Big Harcar Triple: [Farne Islands, hasIsland, Big Harcar]
Generated description
Big Harcar is one of the rocky Farne Islands off the coast of Northumberland, England, known for its seabird colonies and treacherous surrounding waters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big Harcar Target entity description: Big Harcar is one of the rocky Farne Islands off the coast of Northumberland, England, known for its seabird colonies and treacherous surrounding waters.
-
A.
Parlick
Parlick is a prominent hill in Lancashire, England, popular with walkers and paragliders and known for its sweeping views over the Forest of Bowland.
-
B.
Haro
Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
-
C.
Big Eagle
Big Eagle was a prominent Mdewakanton Dakota leader known for his key role in the Dakota War of 1862 against United States forces in Minnesota.
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516cebe881909ed358a7641f6a12 |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d7b32081909dd5f8ae3fe293be |
completed | April 15, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69e0b498df2481908c964d53b1782774 |
completed | April 16, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e11e21fc2c8190878a877ecd3b465e |
completed | April 16, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:20 p.m.