Triple
T12630030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avallon |
E301614
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object |
Avallonnais
Avallonnais is the French term for an inhabitant or native of the town of Avallon in the Bourgogne-Franche-Comté region of eastern France.
|
E992506
|
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: Avallonnais | Statement: [Avallon, demonym, Avallonnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avallonnais Context triple: [Avallon, demonym, Avallonnais]
-
A.
Privolnoye
Privolnoye is a rural village in southern Russia best known as the birthplace of former Soviet leader Mikhail Gorbachev.
-
B.
Asalluhi
Asalluhi is a Mesopotamian god associated with incantations, healing, and exorcism, often linked to the later Babylonian deity Marduk.
-
C.
Glavlit
Glavlit was the Soviet state censorship agency responsible for controlling and suppressing information in publications, media, and the arts.
-
D.
Free for All
"Free for All" is a 1964 hard bop jazz album by drummer Art Blakey and his Jazz Messengers, celebrated for its intense energy and powerful ensemble performances.
-
E.
Oeffingen
Oeffingen is a district of the town of Fellbach in the German state of Baden-Württemberg.
- 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: Avallonnais Triple: [Avallon, demonym, Avallonnais]
Generated description
Avallonnais is the French term for an inhabitant or native of the town of Avallon in the Bourgogne-Franche-Comté region of eastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avallonnais Target entity description: Avallonnais is the French term for an inhabitant or native of the town of Avallon in the Bourgogne-Franche-Comté region of eastern France.
-
A.
Privolnoye
Privolnoye is a rural village in southern Russia best known as the birthplace of former Soviet leader Mikhail Gorbachev.
-
B.
Asalluhi
Asalluhi is a Mesopotamian god associated with incantations, healing, and exorcism, often linked to the later Babylonian deity Marduk.
-
C.
Glavlit
Glavlit was the Soviet state censorship agency responsible for controlling and suppressing information in publications, media, and the arts.
-
D.
Free for All
"Free for All" is a 1964 hard bop jazz album by drummer Art Blakey and his Jazz Messengers, celebrated for its intense energy and powerful ensemble performances.
-
E.
Oeffingen
Oeffingen is a district of the town of Fellbach in the German state of Baden-Württemberg.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610ce9e48190a496824002c0d2be |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65edafc7c819088bd641542a32e39 |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f660bc541c8190a4d1d7a4cc959ecf |
completed | May 2, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6617997188190bfce14c54619af7f |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 9, 2026, 5:15 p.m.