Triple
T9683439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charolles |
E234344
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Semence
The Semence is a river in eastern France that flows through the commune of Charolles in the Saône-et-Loire department.
|
E814745
|
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: Semence | Statement: [Charolles, locatedOnRiver, Semence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semence Context triple: [Charolles, locatedOnRiver, Semence]
-
A.
Seedley
Seedley is a residential district within the city of Salford in Greater Manchester, England.
-
B.
Tuff Seed
"Tuff Seed" is a popular reggae/dancehall track by Ghanaian artist Stonebwoy that helped solidify his international recognition.
-
C.
Semín
Semín is a small village in the Pardubice Region of the Czech Republic, known as the birthplace of architect Josef Gočár.
-
D.
Piantas
Piantas are a race of tall, palm tree–like humanoid inhabitants of Isle Delfino in the Super Mario series, best known for their prominent role in Super Mario Sunshine.
-
E.
SEED
SEED is a Stanford University institute focused on promoting innovation and entrepreneurship to drive economic development in emerging and developing economies.
- 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: Semence Triple: [Charolles, locatedOnRiver, Semence]
Generated description
The Semence is a river in eastern France that flows through the commune of Charolles in the Saône-et-Loire department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Semence Target entity description: The Semence is a river in eastern France that flows through the commune of Charolles in the Saône-et-Loire department.
-
A.
Seedley
Seedley is a residential district within the city of Salford in Greater Manchester, England.
-
B.
Tuff Seed
"Tuff Seed" is a popular reggae/dancehall track by Ghanaian artist Stonebwoy that helped solidify his international recognition.
-
C.
Semín
Semín is a small village in the Pardubice Region of the Czech Republic, known as the birthplace of architect Josef Gočár.
-
D.
Piantas
Piantas are a race of tall, palm tree–like humanoid inhabitants of Isle Delfino in the Super Mario series, best known for their prominent role in Super Mario Sunshine.
-
E.
SEED
SEED is a Stanford University institute focused on promoting innovation and entrepreneurship to drive economic development in emerging and developing economies.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ccf21a08190a1302b933b9e50be |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1910192e88190b10409ae62c1c948 |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d19327f0b481908be85bcb0deccb46 |
completed | April 4, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d193fac390819092dd913dc78e2841 |
completed | April 4, 2026, 10:43 p.m. |
Created at: March 30, 2026, 8:16 p.m.