Triple
T14471894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porte Guillaume |
E358864
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Place Darcy
Place Darcy is a prominent public square in Dijon, France, known as a central hub near the historic city center and a gateway to the old town.
|
E1100236
|
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: Place Darcy | Statement: [Porte Guillaume, locatedIn, Place Darcy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Place Darcy Context triple: [Porte Guillaume, locatedIn, Place Darcy]
-
A.
Arthur Darcy
Arthur Darcy was an English nobleman who held the title of Earl of Holderness.
-
B.
Fitzwilliam Darcy
Fitzwilliam Darcy is the proud yet ultimately honorable romantic hero of Jane Austen's novel "Pride and Prejudice," whose evolving relationship with Elizabeth Bennet has made him one of literature's most iconic gentlemen.
-
C.
Robert Darcy
Robert Darcy was a British nobleman who held the title of Earl of Holderness.
-
D.
Lord Darcy
Lord Darcy was an English nobleman who played a prominent leadership role in the 1536 Catholic uprising against Henry VIII known as the Pilgrimage of Grace.
-
E.
Wickham
Wickham is a historic village in Hampshire, England, known for its large medieval square and traditional English charm.
- 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: Place Darcy Triple: [Porte Guillaume, locatedIn, Place Darcy]
Generated description
Place Darcy is a prominent public square in Dijon, France, known as a central hub near the historic city center and a gateway to the old town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Place Darcy Target entity description: Place Darcy is a prominent public square in Dijon, France, known as a central hub near the historic city center and a gateway to the old town.
-
A.
Arthur Darcy
Arthur Darcy was an English nobleman who held the title of Earl of Holderness.
-
B.
Fitzwilliam Darcy
Fitzwilliam Darcy is the proud yet ultimately honorable romantic hero of Jane Austen's novel "Pride and Prejudice," whose evolving relationship with Elizabeth Bennet has made him one of literature's most iconic gentlemen.
-
C.
Robert Darcy
Robert Darcy was a British nobleman who held the title of Earl of Holderness.
-
D.
Lord Darcy
Lord Darcy was an English nobleman who played a prominent leadership role in the 1536 Catholic uprising against Henry VIII known as the Pilgrimage of Grace.
-
E.
Wickham
Wickham is a historic village in Hampshire, England, known for its large medieval square and traditional English charm.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fab21c819090b6e209d8efba6e |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649e103c81908001b45c16d1fd79 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd658f2c1c8190b6a564dbe75fc2f2 |
completed | May 8, 2026, 4:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd661c201c8190ba8ce1295849e8c1 |
completed | May 8, 2026, 4:27 a.m. |
Created at: April 10, 2026, 1:20 a.m.