Triple
T12973282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AS Nancy |
E321456
|
entity |
| Predicate | stadiumLocation |
P40
|
FINISHED |
| Object |
Tomblaine
Tomblaine is a commune in northeastern France, near Nancy, known for hosting the home stadium of the AS Nancy football club.
|
E1013251
|
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: Tomblaine | Statement: [AS Nancy, stadiumLocation, Tomblaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomblaine Context triple: [AS Nancy, stadiumLocation, Tomblaine]
-
A.
Abner
Abner is a prominent Old Testament military commander and political figure in the Hebrew Bible, known especially for his role in the power struggles following King Saul’s death.
-
B.
Gilmore D. Clarke
Gilmore D. Clarke was an influential American landscape architect and civil engineer known for shaping major public works and parkways in New York during the mid-20th century.
-
C.
Charles Maes
Charles Maes was a Roman Catholic prelate who served as a notable bishop of the Diocese of Ypres in Belgium.
-
D.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
-
E.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
- 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: Tomblaine Triple: [AS Nancy, stadiumLocation, Tomblaine]
Generated description
Tomblaine is a commune in northeastern France, near Nancy, known for hosting the home stadium of the AS Nancy football club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomblaine Target entity description: Tomblaine is a commune in northeastern France, near Nancy, known for hosting the home stadium of the AS Nancy football club.
-
A.
Abner
Abner is a prominent Old Testament military commander and political figure in the Hebrew Bible, known especially for his role in the power struggles following King Saul’s death.
-
B.
Gilmore D. Clarke
Gilmore D. Clarke was an influential American landscape architect and civil engineer known for shaping major public works and parkways in New York during the mid-20th century.
-
C.
Charles Maes
Charles Maes was a Roman Catholic prelate who served as a notable bishop of the Diocese of Ypres in Belgium.
-
D.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
-
E.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e4322c08190abd43daadf16097f |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ec821c81909398d8e02d69dcbf |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9db8164819086a3a27692d681d5 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb337b708190a874cec01d588236 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 9, 2026, 8:36 p.m.