Triple
T3079685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Besançon |
E64224
|
entity |
| Predicate | demonyms |
P191
|
FINISHED |
| Object |
Bisontin
Bisontin is the French term for an inhabitant or native of the city of Besançon in eastern France.
|
E325044
|
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: Bisontin | Statement: [Besançon, demonyms, Bisontin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bisontin Context triple: [Besançon, demonyms, Bisontin]
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Agnus
Agnus is the custom chip in early Commodore Amiga computers responsible for managing graphics, memory access, and DMA operations within the system’s chipset.
-
C.
Oliphant
Oliphant is a surname most notably associated with Australian physicist Sir Mark Oliphant, a pioneer in nuclear physics and radar technology.
-
D.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
-
E.
Bachué
Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
- 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: Bisontin Triple: [Besançon, demonyms, Bisontin]
Generated description
Bisontin is the French term for an inhabitant or native of the city of Besançon in eastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bisontin Target entity description: Bisontin is the French term for an inhabitant or native of the city of Besançon in eastern France.
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Agnus
Agnus is the custom chip in early Commodore Amiga computers responsible for managing graphics, memory access, and DMA operations within the system’s chipset.
-
C.
Oliphant
Oliphant is a surname most notably associated with Australian physicist Sir Mark Oliphant, a pioneer in nuclear physics and radar technology.
-
D.
Mouton-Duvernet
Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
-
E.
Bachué
Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a9d61081909953eb2f4ad4537e |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f890a21c8190bcb78fe5c9ec6e75 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f9883fa48190b41921bcfbe55e59 |
completed | March 11, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9f759408190a4f2121078fe13cb |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.