Triple
T1600760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franche-Comté |
E34385
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Dole
Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
|
E180721
|
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: Dole | Statement: [Franche-Comté, containsCity, Dole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dole Context triple: [Franche-Comté, containsCity, Dole]
-
A.
Banana
Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
-
B.
Avoca
Avoca is a small city located in Pottawattamie County in southwestern Iowa, United States.
-
C.
Naran
Naran is a popular mountain resort town and tourist destination in northern Pakistan, known for its scenic valleys, rivers, and access to sites like Lake Saif-ul-Malook.
-
D.
Pyrus
Pyrus is a genus of flowering plants best known for including the cultivated pear trees that produce edible pears.
-
E.
Roselle
Roselle is a suburban village in northeastern Illinois, United States, located in the Chicago metropolitan area.
- 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: Dole Triple: [Franche-Comté, containsCity, Dole]
Generated description
Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dole Target entity description: Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
-
A.
Banana
Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
-
B.
Avoca
Avoca is a small city located in Pottawattamie County in southwestern Iowa, United States.
-
C.
Naran
Naran is a popular mountain resort town and tourist destination in northern Pakistan, known for its scenic valleys, rivers, and access to sites like Lake Saif-ul-Malook.
-
D.
Pyrus
Pyrus is a genus of flowering plants best known for including the cultivated pear trees that produce edible pears.
-
E.
Roselle
Roselle is a suburban village in northeastern Illinois, United States, located in the Chicago metropolitan area.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9094a27908190bf0d9b5d43617192 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46aafce08190855f8e0b760ab5ac |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad47c7108081908e78a24983353212 |
completed | March 8, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad481e2c788190af51003898fcbe33 |
completed | March 8, 2026, 9:57 a.m. |
Created at: March 4, 2026, 7:28 p.m.