Triple
T783899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corsica |
E16558
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Corte
Corte is a historic inland town in central Corsica known for its dramatic citadel and role as a former capital of the island.
|
E93039
|
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: Corte | Statement: [Corsica, hasCity, Corte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corte Context triple: [Corsica, hasCity, Corte]
-
A.
La Justice
La Justice is a philosophical poem by French writer and Nobel laureate Sully Prudhomme that explores themes of law, morality, and the nature of justice.
-
B.
New Court
New Court is a prominent 19th-century neo-Gothic courtyard of St John’s College, Cambridge, overlooking the River Cam and the Bridge of Sighs.
-
C.
New Court
New Court is a prominent 19th-century neo-Gothic courtyard of Trinity College, Cambridge, overlooking the River Cam and known for its grand architecture.
-
D.
New Court
New Court is a prominent quadrangle of Christ's College, Cambridge, known for its historic collegiate architecture and role in housing students and college facilities.
-
E.
New Court
New Court is a prominent quadrangle and set of college buildings at Emmanuel College, Cambridge, known for its historic architecture and role in student life.
- 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: Corte Triple: [Corsica, hasCity, Corte]
Generated description
Corte is a historic inland town in central Corsica known for its dramatic citadel and role as a former capital of the island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corte Target entity description: Corte is a historic inland town in central Corsica known for its dramatic citadel and role as a former capital of the island.
-
A.
La Justice
La Justice is a philosophical poem by French writer and Nobel laureate Sully Prudhomme that explores themes of law, morality, and the nature of justice.
-
B.
New Court
New Court is a prominent 19th-century neo-Gothic courtyard of Trinity College, Cambridge, overlooking the River Cam and known for its grand architecture.
-
C.
New Court
New Court is a prominent 19th-century neo-Gothic courtyard of St John’s College, Cambridge, overlooking the River Cam and the Bridge of Sighs.
-
D.
New Court
New Court is a prominent quadrangle and set of college buildings at Emmanuel College, Cambridge, known for its historic architecture and role in student life.
-
E.
New Court
New Court is a prominent quadrangle of Christ's College, Cambridge, known for its historic collegiate architecture and role in housing students and college facilities.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a769dc6481908f12e872f997acf3 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733c2e608190962440d6ef637784 |
completed | March 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69a673ccc2308190a887ada146290de8 |
completed | March 3, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6742d7ba881909385cbc51a2ed7bd |
completed | March 3, 2026, 5:39 a.m. |
Created at: March 1, 2026, 7:37 p.m.